From lmuller2 at uwo.ca Mon Dec 2 02:14:01 2024
From: lmuller2 at uwo.ca (Lyle Muller)
Date: Mon, 2 Dec 2024 07:14:01 +0000
Subject: Connectionists: Postdoc and PhD call | Spatiotemporal dynamics and
computation in cortical networks
Message-ID: <019C0E68-A000-48F6-8ABC-87E797F4694F@uwo.ca>
Postdoctoral and graduate research positions are available at Western University (London, ON) and the Fields Lab for Network Science (Toronto, ON). These positions will be supervised by Lyle Muller and involve collaborations with advanced methods of brain imaging (Mark Schnitzer, Stanford), neuroengineering (Duygu Kuzum, UCSD), theoretical neuroscience (Todd Coleman, Stanford), and neurophysiology of visual perception (John Reynolds, Salk Institute for Biological Studies).
In collaboration with this multi-disciplinary team, researchers will bring together data science, computational science, and applied mathematics to understand spatiotemporal dynamics and computation in the circuits of neocortex. The project may include intermittent travel between labs to present results and facilitate collaborative work.
Recent publications from the lab include:
* Davis Z*, Muller L*, Martinez-Trujillo J, Sejnowski TJ, Reynolds J (2020) Spontaneous traveling cortical waves gate perception in awake behaving primates. Nature 587: 432 ? 436.
* Benigno G, Budzinski RC, Davis Z, Reynolds J, Muller L (2023) Waves traveling over a map of visual space can ignite short-term predictions of sensory input. Nature Communications 14: 3409.
* Liboni L*, Budzinski RC*, Busch AN*, L?we S, Keller TA, Welling M, Muller L (2023) Image segmentation with traveling waves in an exactly solvable recurrent neural network. arXiv:2311.16943.
* Busch A*, Roussy M*, ? Min?? J, Sachs AJ, Palaniyappan L, Muller L*, Martinez-Trujillo JC* (2024) Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation. Nature Communications 15: 4471.
* Budzinski RC*, Busch A*, Mestern S, Martin E, Liboni LHB, Pasini FW, Min?? J, Coleman T, Inoue W, Muller L (2024) An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network. Communications Physics 7: 239.
Prior experience with scientific computing, signal analysis, and applied mathematics is preferred. Western University offers an excellent research environment and support. Candidates can write to lmuller2 at uwo.ca with a CV and short statement of interest.
Both the lab and the University are deeply committed to fostering diversity and scientific outreach. Applications from underrepresented groups are strongly encouraged, and any interested applicants are welcomed to write the PI directly with questions about the research environment.
--
Lyle Muller
http://mullerlab.ca
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From dhansel0 at gmail.com Sun Dec 1 10:46:56 2024
From: dhansel0 at gmail.com (David Hansel)
Date: Sun, 1 Dec 2024 17:46:56 +0200
Subject: Connectionists: World wide VVTNS series: Wednesday, December 4, 2024,
at 11:00 am EST| Laura Driscoll Allen Institute
In-Reply-To:
References:
Message-ID:
[image: VVTNS.png]
https://www.wwtns.online
-
on twitter: wwtns at TheoreticalWide
You are cordially invited to the lecture given by
Laura Driscoll
Allen Institute
on the topic of
Task structure shapes underlying dynamical systems
that implement computation
The lecture will be held on zoom on Wednesday, December 4, 2024, at *11:00
am EST *
To receive the zoom link: https://www.wwtns.online/register-page
*Abstract: *The talk will be in two parts. 1) First, I will present
published work on multitasking artificial recurrent neural networks that
revealed "dynamical motifs". Dynamical motifs are recurring patterns of
network activity that implement specific computations through dynamics,
such as attractors, decision boundaries and rotations. Motifs are reused
across tasks and reflect the modular subtask structure of commonly studied
cognitive tasks. We believe this compositional structure to be a feature of
most complex cognitive tasks. This work establishes dynamical motifs as a
fundamental unit of compositional computation, intermediate between neuron
and network. 2) Building on these insights, we are now investigating
whether shared dynamical motifs can explain the effectiveness of curriculum
learning in animal behavior. Also known as animal shaping, curriculum
learning is a training approach where complex tasks are learned in stages
through a series of subtasks. Our work provides a novel framework for
analysis of neural and behavioral data and has the potential to guide the
design of optimal training protocols for both artificial systems and for
animals.
*About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar
(WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in
Memoriam (April 20, 2022), Speakers have the occasion to talk about
theoretical aspects of their work which cannot be discussed in a setting
where the majority of the audience consists of experimentalists. The
seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed
by a discussion. The talks are recorded with authorization of the speaker
and are available to everybody on our YouTube channel.*
?
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From hurakubo at gmail.com Mon Dec 2 00:11:13 2024
From: hurakubo at gmail.com (=?UTF-8?B?5rWm5LmF5L+d56eA5L+K?=)
Date: Mon, 2 Dec 2024 14:11:13 +0900
Subject: Connectionists: Postdoctral position at the Department of
Biomedical Data Science, School of Medicine, Fujita Health University (FHU),
Aichi, Japan
Message-ID:
We invite applications for an enthusiastic postdoctoral researcher in
the area of computational neuroscience or systems biology. A new
collaborative project with Kyushu U (#) has been launched to elucidate
biochemical signaling involved in the development of the olfactory
system.
We are working on a project to simulate how neural circuits in the
brain acquire function through development. As an example, we are
focusing on the process of mitral cell dendritic pruning that leads to
the acquisition of odor selectivity (Fujimoto 2023, Dev Cell 58,
1221?1236). This process is governed by the coupling of biochemical
signaling of small G proteins and neuronal electrical activity. In
addition, the neural circuit simulation will be performed to elucidate
the emergent process of odor information processing. The NEURON
simulator or other platform simulators will be useful for this
project.
(#) Grant-in-Aid for Transformative Research Areas(A), Japan Society
of the Promotion of Science (JSPS), Japan.
https://plaza.umin.ac.jp/dynamic-brain/en/
1. Job title
Full-time Postdoctoral Researcher
2. Begin date
January 1st 2025 or later (negotiable)
3. Appointment period
Annually renewed based on evaluation. Up to March/2029.
4. Workplace
Fujita Health University (FHU), Aichi, Japan
https://www.fujita-hu.ac.jp/en/
1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan
5. Qualifications
Applicants must:
- have Ph.D. (or be near the completion of the degree).
- have strong motivations and ambitions to participate in the research above.
6. Compensation
Salary will be commensurate with qualifications and experience. Social
insurance will be applied. Days off include public holidays, New
Year's holidays (Dec. 29 - Jan 3), summer vacation, and sick leave.
These and other provisions are in accordance with FHU regulations.
7. Required documents
Please send the following five materials to the email address below:
1. Complete CV
2. List of publications
3. Reprints of 1 to 3 major publications
4. Document (one or two pages in A4 or letter size) describing:
- Summary of your previous research and current interest.
- Relevance to the project research and potential contributions.
Describe your skills in neuronal and neural circuit simulations and
their relevance to Fujimoto 2023 (Dev Cell 58, 1221-1236).
- Technical skills (programming skills, etc).
5. One letter of recommendation, if available, from the current supervisor.
8. Selection
Selection will be made based on application screening and interviews.
9. Others
No smoking allowed on the premises of FHU.
10. Application and Contact
Hidetoshi Urakubo, Ph.D.
Email: hidetoshi.urakubo at fujita-hu.ac.jp
Department of Biomedical Data Science, School of Medicine,
Fujita Health University (FHU),
1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan
Phone: +81-562-93-9628
https://researchmap.jp/urakubo?lang=en
https://www.fujita-hu.ac.jp/~datascience/
From k.wong-lin at ulster.ac.uk Sun Dec 1 12:55:27 2024
From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt)
Date: Sun, 1 Dec 2024 17:55:27 +0000
Subject: Connectionists: Fully funded 3-year PhD scholarships in
computational neuroscience, neurotechnology and AI available
Message-ID:
==============================================================
Professor KongFatt Wong-Lin has several fully funded 3-year PhD research scholarships in computational neuroscience, neurotechnology and AI available.
He is the lead/main supervisor for two of the available PhD scholarships on bridging fundamental cognitive computational neuroscience of decision-making and learning to brain-inspired AI algorithms. Applications are available from 2nd December 2024 at:
*
https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems/1680504 [Open to international or UK/Ireland applicants; deadline: 24th February 2025]
*
https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems/1680541 [Open to international or UK/Ireland applicants; deadline: 24th February 2025]
Two other PhD scholarships are also available on neurotechnology and machine learning:
*
https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems/1680489 [Open to international or UK/Ireland applicants; deadline: 24th February 2025]
*
https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems/1677141 [Open only to UK/Ireland applicants; deadline 9th Jan 2025]
Please kindly direct any queries to Prof. Wong-Lin (k.wong-lin at ulster.ac.uk). Many thanks.
The research teams involved in the PhD projects:
*
https://www.ulster.ac.uk/research/topic/computer-science/intelligent-systems-research-centre/teams/neural-systems-and-neuro-technology
*
https://www.ulster.ac.uk/research/topic/computer-science/intelligent-systems-research-centre/teams/computational-neuroscience-and-neural-engineering
Our School and its Intelligent Systems Research Centre (https://www.ulster.ac.uk/research/topic/computer-science/intelligent-systems-research-centre) have neuroscience and AI related research communities and facilities in:
*
NeuroAI and computational neuroscience
*
Brain-computer interfaces/non-invasive neurotech
*
MEG and EEG brain imaging
*
Neuromorphic computing
*
Cognitive robotics
*
High-performance computing
-----------------
In 2021, Ulster University was, in the UK:
*
ranked 2nd for Ph.D. researcher satisfaction
*
6th largest Computer Science and Informatics unit
*
7th for world-leading or internationally excellent research and impact with respect to staff number.
Derry~Londonderry is a vibrant, friendly and affordable city with ~100K people with high quality of life, close to stunning coastline and outdoor activities in the north and north-west of Northern Ireland and Republic of Ireland.
Ulster University has recently been awarded by Times Higher Education as the 'University of the Year 2024', the top higher education institution in the UK and Ireland.
==============================================================
Professor KongFatt Wong-Lin
Intelligent Systems Research Centre
School of Computing, Engineering and Intelligent Systems
Ulster University,
Derry~Londonderry, UK
E-mail: k.wong-lin at ulster.ac.uk
Web: https://www.ulster.ac.uk/staff/k-wong-lin
This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University.
The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation.
The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA
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From efipatm at gmail.com Mon Dec 2 04:19:56 2024
From: efipatm at gmail.com (Efi)
Date: Mon, 2 Dec 2024 11:19:56 +0200
Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof.
Sean Gong (Queen Mary University of London): "LLMs for More Reliable Small
Data Learning", December 3, 2024 - 17:00 CET.
Message-ID:
Dear AI scientist/engineer/student/enthusiast,
Professor Sean Gong (Queen Mary University of London) will deliver the e
? lecture: "*LLMs for More Reliable Small Data Learning*"
? *Date: **3**rd.** December 2024*
? *Time*: *17:00 ? 18:00 CET*
? *Join via Zoom: [Zoom link
&
passcode: 114050]*
*?* For more details, click *here
*
The *International AI Doctoral Academy (AIDA)* , a
joint initiative of the European R&D projects AI4Media
, ELISE , Humane AI Net
, TAILOR *, *VISION
, is very pleased to offer you top quality
scientific lectures
in the framework of AIDA AI Excellence Lecture Series
on several current
hot AI topics. Lectures will be offered alternatingly by:
- Top highly cited senior AI scientists internationally or
- Young AI scientists with promise of excellence (AI sprint lectures)
These lectures are disseminated through multiple channels and email lists
(we apologize if you received it through various channels). If you want to
stay informed on future lectures, you can register in the email lists AIDA
email list and CVML email list
.
Upcoming AI Excellence Lectures:
- Prof. Dr. Juergen Gall, ?From Forecasting Human Behavior to
Forecasting Extreme Weather and Climate Events?, 17/12/24, 17:00 CET
- Prof. Dr. Gerard Pons-Moll, ?How to train large scale 3D human
foundation models?, 4/2/25, 17:00 CET
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J.
Stefanowski
AIDA AI Excellence Lecture Series committee members
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From jonathan.dan at epfl.ch Mon Dec 2 10:32:09 2024
From: jonathan.dan at epfl.ch (Jonathan Dan)
Date: Mon, 2 Dec 2024 16:32:09 +0100
Subject: Connectionists: Seizure detection challenge (2025)
Message-ID: <4e6a5f57-d9cb-4026-b063-9f11bc2a3aff@epfl.ch>
Hello,
EPFL is organizing a competition in collaboration with the International
Conference on Artificial Intelligence in Epilepsy and Other Neurological
Disorders.
The competition aims to develop epileptic seizure detection algorithms
for assisting in the analysis of scalp electroencephalography. It is
open to anyone with skills in machine learning and artificial
intelligence. This competition should help identify algorithms well
suited for hospital adoption while simultaneously pushing for open and
reproducible science.
You will find a description of the competition on
https://epilepsybenchmarks.com/challenge
Hurry up! We are expecting algorithm submissions by 16 February 2025.
Happy hacking
Jonathan Dan
Post-Doc ESL-EPFL
From dwang at cse.ohio-state.edu Mon Dec 2 11:13:58 2024
From: dwang at cse.ohio-state.edu (Wang, Deliang)
Date: Mon, 2 Dec 2024 16:13:58 +0000
Subject: Connectionists: NEURAL NETWORKS, Dec. 2024
Message-ID:
Neural Networks - Volume 180, Dec. 2024
https://www.journals.elsevier.com/neural-networks
Euclidean-Distance-Preserved Feature Reduction for efficient person re-identification
Guan'an Wang, Xiaowen Huang, Yang Yang, Prayag Tiwari, Jian Zhang
DMGNet: Depth mask guiding network for RGB-D salient object detection
Yinggan Tang, Mengyao Li
Manifold-based Shapley explanations for high dimensional correlated features
Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, Ljubi?a Stankovi?
SFT-SGAT: A semi-supervised fine-tuning self-supervised graph attention network for emotion recognition and consciousness detection
Lina Qiu, Liangquan Zhong, Jianping Li, Weisen Feng, ... Jiahui Pan
Is artificial consciousness achievable? Lessons from the human brain
Michele Farisco, Kathinka Evers, Jean-Pierre Changeux
Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network
Jamie A. O'Reilly, Judy D. Zhu, Paul F. Sowman
The vitals for steady nucleation maps of spontaneous spiking coherence in autonomous two-dimensional neuronal networks
Dmitrii Zendrikov, Alexander Paraskevov
Learning functional brain networks with heterogeneous connectivities for brain disease identification
Chaojun Zhang, Yunling Ma, Lishan Qiao, Limei Zhang, Mingxia Liu
Multistability and fixed-time multisynchronization of switched neural networks with state-dependent switching rules
Shiqin Ou, Zhenyuan Guo, Shiping Wen, Tingwen Huang
Deep brain stimulation and lag synchronization in a memristive two-neuron network
Xihong Yu, Han Bao, Quan Xu, Mo Chen, Bocheng Bao
Neural dynamics and seizure correlations: Insights from neural mass models in a Tetanus Toxin rat model of epilepsy
Parvin Zarei Eskikand, Artemio Soto-Breceda, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
No-reference stereoscopic image quality assessment based on binocular collaboration
Hanling Wang, Xiao Ke, Wenzhong Guo, Wukun Zheng
Finding core labels for maximizing generalization of graph neural networks
Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, ... Danilo Mandic
Adaptive ambiguity-aware weighting for multi-label recognition with limited annotations
Daniel Shrewsbury, Suneung Kim, Seong-Whan Lee
GazeForensics: DeepFake detection via gaze-guided spatial inconsistency learning
Qinlin He, Chunlei Peng, Decheng Liu, Nannan Wang, Xinbo Gao
The combined Lyapunov functionals method for stability analysis of neutral Cohen-Grossberg neural networks with multiple delays
Ozlem Faydasicok, Sabri Arik
Universal approximation theorem for vector- and hypercomplex-valued neural networks
Marcos Eduardo Valle, Wington L. Vital, Guilherme Vieira
Multiview learning with twin parametric margin SVM
A. Quadir, M. Tanveer
Face Omron Ring: Proactive defense against face forgery with identity awareness
Yunshu Dai, Jianwei Fei, Fangjun Huang, Zhihua Xia
Attention-based stackable graph convolutional network for multi-view learning
Zhiyong Xu, Weibin Chen, Ying Zou, Zihan Fang, Shiping Wang
Reconstruct incomplete relation for incomplete modality brain tumor segmentation
Jiawei Su, Zhiming Luo, Chengji Wang, Sheng Lian, ... Shaozi Li
DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation
Ke Li, Di Wang, Gang Liu, Wenxuan Zhu, ... Quan Wang
The Artificial Neural Twin - Process optimization and continual learning in distributed process chains
Johannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, Christopher Syben, Andreas Maier
Aperiodic intermittent dynamic event-triggered synchronization control for stochastic delayed multi-links complex networks
Yanfeng Zhao, Lixia Sun, Lili Chen, Zhen Wang
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT
Qiaoyi Su, Shijie Mei, Xingrun Xing, Man Yao, ... Guoqi Li
Generalized M-sparse algorithms for constructing fault tolerant RBF networks
Hiu-Tung Wong, Jiajie Mai, Zhenni Wang, Chi-Sing Leung
A new hybrid learning control system for robots based on spiking neural networks
Vahid Azimirad, S. Yaser Khodkam, Amir Bolouri
Learning the feature distribution similarities for online time series anomaly detection
Jin Fan, Yan Ge, Xinyi Zhang, ZheYu Wang, ... Jia Wu
StochCA: A novel approach for exploiting pretrained models with cross-attention
Seungwon Seo, Suho Lee, Sangheum Hwang
PathMLP: Smooth path towards high-order homophily
Jiajun Zhou, Chenxuan Xie, Shengbo Gong, Jiaxu Qian, ... Xiaoniu Yang
Few-shot learning with representative global prototype
Yukun Liu, Daming Shi, Hexiu Lin
Inter-participant transfer learning with attention based domain adversarial training for P300 detection
Shurui Li, Ian Daly, Cuntai Guan, Andrzej Cichocki, Jing Jin
Asynchronous iterative Q-learning based tracking control for nonlinear discrete-time multi-agent systems
Ziwen Shen, Tao Dong, Tingwen Huang
Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance
Zijian Li, Ruichu Cai, Jiawei Chen, Yuguang Yan, ... Junjian Ye
Harnessing collective structure knowledge in data augmentation for graph neural networks
Rongrong Ma, Guansong Pang, Ling Chen
Complex-valued soft-log threshold reweighting for sparsity of complex-valued convolutional neural networks
Jingwei Jiang, He Huang
Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learning
Jinrong Cui, Yazi Xie, Chengliang Liu, Qiong Huang, ... Jie Wen
Cross-domain zero-shot learning for enhanced fault diagnosis in high-voltage circuit breakers
Qiuyu Yang, Yuxiang Liao, Jianxing Li, Jingyi Xie, Jiangjun Ruan
JFDI: Joint Feature Differentiation and Interaction for domain adaptive object detection
Ziteng Qiao, Dianxi Shi, Songchang Jin, Yanyan Shi, ... Chunping Qiu
Knowledge-reinforced explainable next basket recommendation
Ling Huang, Han Zou, Xiao-Dong Huang, Yuefang Gao, ... Chang-Dong Wang
Backdoor attacks on unsupervised graph representation learning
Bingdao Feng, Di Jin, Xiaobao Wang, Fangyu Cheng, Siqi Guo
Addressing unreliable local models in federated learning through unlearning
Muhammad Ameen, Riaz Ullah Khan, Pengfei Wang, Sidra Batool, Masoud Alajmi
DualAttlog: Context aware dual attention networks for log-based anomaly detection
Haitian Yang, Degang Sun, Weiqing Huang
A class-incremental learning approach for learning feature-compatible embeddings
Hongchao An, Jing Yang, Xiuhua Zhang, Xiaoli Ruan, ... Jianjun Hu
Image harmonization with Simple Hybrid CNN-Transformer Network
Guanlin Li, Bin Zhao, Xuelong Li
Relaxed stability criteria of delayed neural networks using delay-parameters-dependent slack matrices
Hong-Bing Zeng, Zong-Jun Zhu, Wei Wang, Xian-Ming Zhang
ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation
Xing Wei, Taizhang Hu, Di Wu, Fan Yang, ... Yang Lu
Improved region proposal network for enhanced few-shot object detection
Zeyu Shangguan, Mohammad Rostami
PSD-ELGAN: A pseudo self-distillation based CycleGAN with enhanced local adversarial interaction for single image dehazing
Kangle Wu, Jun Huang, Yong Ma, Fan Fan, Jiayi Ma
Local artifacts amplification for deepfakes augmentation
Chunlei Peng, Feiyang Sun, Decheng Liu, Nannan Wang, Xinbo Gao
Learning clustering-friendly representations via partial information discrimination and cross-level interaction
Hai-Xin Zhang, Dong Huang, Hua-Bao Ling, Weijun Sun, Zihao Wen
Towards a configurable and non-hierarchical search space for NAS
Mathieu Perrin, William Guicquero, Bruno Paille, Gilles Sicard
GlobalSR: Global context network for single image super-resolution via deformable convolution attention and fast Fourier convolution
Qiangpu Chen, Wushao Wen, Jinghui Qin
Bidirectional consistency with temporal-aware for semi-supervised time series classification
Han Liu, Fengbin Zhang, Xunhua Huang, Ruidong Wang, Liang Xi
BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction
Jiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, ... Yaqiong Qiao
State transition learning with limited data for safe control of switched nonlinear systems
Chenchen Fan, Kai-Fung Chu, Xiaomei Wang, Ka-Wai Kwok, Fumiya Iida
Exploring refined dual visual features cross-combination for image captioning
Junbo Hu, Zhixin Li, Qiang Su, Zhenjun Tang, Huifang Ma
Sample selection of adversarial attacks against traffic signs
Yiwen Wang, Yue Wang, Guorui Feng
Bipartite secure synchronization criteria for coupled quaternion-valued neural networks with signed graph
Ning Li, Jinde Cao, Fei Wang
Intermediate-grained kernel elements pruning with structured sparsity
Peng Zhang, Liang Zhao, Cong Tian, Zhenhua Duan
Boosting cross-modal retrieval in remote sensing via a novel unified attention network
Shabnam Choudhury, Devansh Saini, Biplab Banerjee
G^2BFNN: Generalized geodesic basis function neural network
Yang Zhao, Jiayi Xu, Jihong Pei, Xuan Yang
Decoupling visual and identity features for adversarial palm-vein image attack
Jiacheng Yang, Wai Keung Wong, Lunke Fei, Shuping Zhao, ... Shaohua Teng
Joint weight optimization for partial domain adaptation via kernel statistical distance estimation
Sentao Chen
Object and spatial discrimination makes weakly supervised local feature better
Yifan Yin, Mengxiao Yin, Yunhui Xiong, Pengfei Lai, ... Feng Yang
Learning explainable task-relevant state representation for model-free deep reinforcement learning
Tingting Zhao, Guixi Li, Tuo Zhao, Yarui Chen, ... Masashi Sugiyama
Knowledge graph confidence-aware embedding for recommendation
Chen Huang, Fei Yu, Zhiguo Wan, Fengying Li, ... Yuandi Li
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints
Zijie Guo, Qi Zhou, Hongru Ren, Hui Ma, Hongyi Li
GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control
Zhengding Luo, Haozhe Ma, Dongyuan Shi, Woon-Seng Gan
Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning
Jiang Long, Qi Zhang, Xiaohuan Lu, Jie Wen, ... Wulin Xie
Center-enhanced video captioning model with multimodal semantic alignment
Benhui Zhang, Junyu Gao, Yuan Yuan
PROSE: Predicting Multiple Operators and Symbolic Expressions using multimodal transformers
Yuxuan Liu, Zecheng Zhang, Hayden Schaeffer
OS-SSVEP: One-shot SSVEP classification
Yang Deng, Zhiwei Ji, Yijun Wang, S. Kevin Zhou
Multi-scale convolution enhanced transformer for multivariate long-term time series forecasting
Ao Li, Ying Li, Yunyang Xu, Xuemei Li, Caiming Zhang
Deformation depth decoupling network for point cloud domain adaptation
Huang Zhang, Xin Ning, Changshuo Wang, Enhao Ning, Lusi Li
Finite-time cluster synchronization of multi-weighted fractional-order coupled neural networks with and without impulsive effects
Huining Nie, Yu Zhang
Adaptive pessimism via target Q-value for offline reinforcement learning
Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang, ... Wanli Ouyang
Multi-task heterogeneous graph learning on electronic health records
Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality
Guo-Qiang Kong, Liang-Dong Guo
Interplay between depth and width for interpolation in neural ODEs
Antonio ?lvarez-L?pez, Arselane Hadj Slimane, Enrique Zuazua
Aperiodically intermittent quantized control-based exponential synchronization of quaternion-valued inertial neural networks
Jingnan Fei, Sijie Ren, Caicai Zheng, Juan Yu, Cheng Hu
Near-optimal deep neural network approximation for Korobov functions with respect to L^p and H^1 norms
Yahong Yang, Yulong Lu
Secure impulsive tracking of multi-agent systems with directed hypergraph topologies against hybrid deception attacks
Zonglin Yang, Guang Ling, Ming-Feng Ge
Sampled-data synchronization for fuzzy inertial cellular neural networks and its application in secure communication
Sasikala Subramaniam, Prakash Mani
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays
Jianfei Liu, Hong-Li Li, Cheng Hu, Haijun Jiang, Jinde Cao
Moving sampling physics-informed neural networks induced by moving mesh PDE
Yu Yang, Qihong Yang, Yangtao Deng, Qiaolin He
Time-optimal open-loop set stabilization of Boolean control networks
Shaoyu Dai, Bowen Li, Jianquan Lu
How adversarial attacks can disrupt seemingly stable accurate classifiers
Oliver J. Sutton, Qinghua Zhou, Ivan Y. Tyukin, Alexander N. Gorban, ... Desmond J. Higham
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics
Khush Attarde, Javed Sayyad
Beyond smoothness: A general optimization framework for graph neural networks with negative Laplacian regularization
Zhengpin Li, Mengzhe Jia, Zheng Wei, Jian Wang
Fixed-time synchronization of delayed multiple inertial neural network with reaction-diffusion terms under cyber-physical attacks using distributed control and its application to multi-image encryption
P. Kowsalya, S. Kathiresan, Ardak Kashkynbayev, R. Rakkiyappan
A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design
Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, ... Yong Liu
Generative commonsense knowledge subgraph retrieval for open-domain dialogue response generation
Sixing Wu, Jiong Yu, Jiahao Chen, Wei Zhou
Multi-view scene matching with relation aware feature perception
Bo Sun, Ganchao Liu, Yuan Yuan
Multimodal fusion network for ICU patient outcome prediction
Chutong Wang, Xuebing Yang, Mengxuan Sun, Yifan Gu, ... Wensheng Zhang
Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks
Sanghyun Choo, Hoonseok Park, Jae-Yoon Jung, Kevin Flores, Chang S. Nam
Deep graph representation learning for influence maximization with accelerated inference
Tanmoy Chowdhury, Chen Ling, Junji Jiang, Junxiang Wang, ... Liang Zhao
Delay learning based on temporal coding in Spiking Neural Networks
Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren
A dual-region speech enhancement method based on voiceprint segmentation
Yang Li, Wei-Tao Zhang, Shun-Tian Lou
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model
Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, ... Huajin Tang
Kolmogorov n-widths for multitask physics-informed machine learning (PIML) methods: Towards robust metrics
Michael Penwarden, Houman Owhadi, Robert M. Kirby
Complementary information mutual learning for multimodality medical image segmentation
Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, ... Bo Jin
A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture
Bo Gong, Jiang Wang, Siyuan Chang, Gang Xue, Xile Wei
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement
Fenggang Han, Kan Chang, Guiqing Li, Mingyang Ling, ... Zan Gao
RBP-DIP: Residual back projection with deep image prior for ill-posed CT reconstruction
Ziyu Shu, Alireza Entezari
Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks
Ying Qian, Ge Zhu, Zhen Zhang, Susree Modepalli, ... He Li
Spectral integrated neural networks (SINNs) for solving forward and inverse dynamic problems
Lin Qiu, Fajie Wang, Wenzhen Qu, Yan Gu, Qing-Hua Qin
Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition
Jing Wang, Xiaojun Ning, Wei Xu, Yunze Li, ... Youfang Lin
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From roman.bauer111 at gmail.com Mon Dec 2 14:30:13 2024
From: roman.bauer111 at gmail.com (roman bauer)
Date: Mon, 2 Dec 2024 19:30:13 +0000
Subject: Connectionists: Call for Papers: AI for Biology and Biomedicine
Workshop at IEEE CAI
Message-ID:
Dear all,
--------------------------------------------------------------
CALL FOR PAPERS
AI for Biology and Biomedicine Workshop
https://www.combynelab.com/home/news/ai_for_biology_and_biomedicine_2025
IEEE CAI 2025 ? IEEE Conference on Artificial Intelligence
https://cai.ieee.org/2025/
June 5?7, 2025, Santa Clara, California, USA
--------------------------------------------------------------
I would like to bring to your attention the call for papers to the ?AI for
Biology and Biomedicine? Workshop at IEEE CAI 2025 in California, USA on
June 5-7:
*Submissions **via* *Easy Chair
:* Specify that the
manuscript is intended for the ?AI for Biology and Biomedicine? Workshop.
Papers must adhere to the same requirements as the main conference. Accepted
workshop papers are published in the conference proceedings in the workshop
section, available online via IEEE and indexed by IEEE Xplore.
*Scope:* The scope of manuscripts includes innovative AI-assisted methods
that are applied to biological and medical problems. A broad range of
biological and medical applications are relevant, such as for instance the
brain, the immune system, cancer, or neurodegenerative disorders.
*Submission deadline:* 15th of January, 2025
*Paper acceptance notification:* 1st of March 2025
*Camera-ready deadline:* 7th of March, 2025
*Formatting **guidelines:* The IEEE style template should be used (LaTeX
and Word template style files are available). Each long paper should have
at most 6 pages, while each abstract paper should have at most 2 pages,
including figures, tables and references. For further information, see the
relevant conference website here
.
*Monetary support**:* Funding is available to support travel and
accommodation for speakers at the workshop. The selection will be conducted
by the committee on a case-by-case basis.
If you have any questions, please don?t hesitate to contact me via
r.bauer at surrey.ac.uk.
Kind regards,
Roman Bauer (on behalf of the Programme Committee)
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From xiao at gmu.edu Mon Dec 2 19:28:38 2024
From: xiao at gmu.edu (Xuesu Xiao)
Date: Tue, 3 Dec 2024 00:28:38 +0000
Subject: Connectionists: [meetings] [news] The 4th Benchmark for Autonomous
Robot Navigation (BARN) Challenge -- ICRA 2025 Competition
Message-ID: <9F39148E-16DA-42E6-A8C9-C103BD9E794B@gmu.edu>
Submission Form: https://docs.google.com/forms/d/e/1FAIpQLSfYFw_BVg-7lpXNVxQIX_xQKpFrU2m4jrXAVvrRv8pLzgLkLw/viewform
Competition Website: https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge25.html
Participation Instructions: https://github.com/Daffan/nav-competition-icra2022
Lessons Learned from The BARN Challenge 2024: https://cs.gmu.edu/~xiao/papers/barn24_report.pdf
Lessons Learned from The BARN Challenge 2023: https://cs.gmu.edu/~xiao/papers/barn23_report.pdf
Lessons Learned from The BARN Challenge 2022: https://cs.gmu.edu/~xiao/papers/barn22_report.pdf
Dear roboticists,
are you interested in agile robot navigation in highly constrained spaces with a lot of obstacles around, e.g., cluttered households or after-disaster scenarios? Do you think mobile robot navigation is mostly a solved problem? Are you looking for a hands-on project for your robotics class, but may not have (sufficient) robot platforms for your students?
If your answer is yes to any of the above questions, we sincerely invite you to participate in The 4th BARN Challenge at ICRA 2025 (https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge25.html)! The BARN Challenge aims at evaluating state-of-the-art autonomous navigation systems to move robots through highly constrained environments in a safe and efficient manner. The task is to navigate a standardized Clearpath Jackal robot from a predefined start to a goal location as quickly as possible without any collision. The challenge will take place both in the simulated BARN dataset and in physical obstacle courses at ICRA 2025.
1. The competition task is designing ground navigation systems to navigate through all 300 BARN environments (https://cs.gmu.edu/~xiao/Research/BARN/BARN.html) and physical obstacle courses constructed at ICRA 2025 as fast as possible without collision.
2. The 300 BARN environments can be the training set for learning-based methods, or to design classical approaches in. During the simulation competition, we will generate another 50 unseen environments unavailable to the participants before the competition.
3. We will standardize a Jackal robot in the Gazebo simulation, including a Hokuyo 2D LiDAR, motor controller of 2m/s max speed, etc.
4. Participants can use any approaches to tackle the navigation problem, such as using classical sampling-based or optimization-based planners, end-to-end learning, or hybrid approaches. We will provide baselines for reference.
5. A standardized scoring system is provided on the website.
6. We will invite the top teams in simulation to compete in the real world. The team who achieves the fastest collision-free navigation in the physical obstacle courses wins.
If you are interested in participating, please submit your navigation system at https://docs.google.com/forms/d/e/1FAIpQLSfYFw_BVg-7lpXNVxQIX_xQKpFrU2m4jrXAVvrRv8pLzgLkLw/viewform
Co-Organizers:
Xuesu Xiao (George Mason University)
Zifan Xu (UT Austin)
Aniket Datar (George Mason University)
Saad Abdul Ghani (George Mason University)
Peter Stone (UT Austin / Sony AI)
Sponsor:
Clearpath Robotics, https://clearpathrobotics.com/
Thanks
Xuesu
-----------------------
Xuesu Xiao, Ph.D.
--
Assistant Professor
Department of Computer Science
George Mason University
xiao at gmu.edu
https://cs.gmu.edu/~xiao/
https://robotixx.cs.gmu.edu/
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From dhansel0 at gmail.com Tue Dec 3 10:01:24 2024
From: dhansel0 at gmail.com (David Hansel)
Date: Tue, 3 Dec 2024 17:01:24 +0200
Subject: Connectionists: REMINDER: World wide VVTNS series- Wednesday,
December 4, 2024, at 11:00 am EST| Laura Driscoll Allen Institute
In-Reply-To:
References:
Message-ID:
[image: VVTNS.png]
https://www.wwtns.online
-
on twitter: wwtns at TheoreticalWide
You are cordially invited to the lecture given by
Laura Driscoll
Allen Institute
on the topic of
Task structure shapes underlying dynamical systems
that implement computation
The lecture will be held on zoom on Wednesday, December 4, 2024, at *11:00
am EST *
To receive the zoom link: https://www.wwtns.online/register-page
*Note: This talk will NOT be recorded*
*Abstract: *The talk will be in two parts. 1) First, I will present
published work on multitasking artificial recurrent neural networks that
revealed "dynamical motifs". Dynamical motifs are recurring patterns of
network activity that implement specific computations through dynamics,
such as attractors, decision boundaries and rotations. Motifs are reused
across tasks and reflect the modular subtask structure of commonly studied
cognitive tasks. We believe this compositional structure to be a feature of
most complex cognitive tasks. This work establishes dynamical motifs as a
fundamental unit of compositional computation, intermediate between neuron
and network. 2) Building on these insights, we are now investigating
whether shared dynamical motifs can explain the effectiveness of curriculum
learning in animal behavior. Also known as animal shaping, curriculum
learning is a training approach where complex tasks are learned in stages
through a series of subtasks. Our work provides a novel framework for
analysis of neural and behavioral data and has the potential to guide the
design of optimal training protocols for both artificial systems and for
animals.
*About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar
(WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in
Memoriam (April 20, 2022), Speakers have the occasion to talk about
theoretical aspects of their work which cannot be discussed in a setting
where the majority of the audience consists of experimentalists. The
seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed
by a discussion. The talks are recorded with authorization of the speaker
and are available to everybody on our YouTube channel.*
?
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From barna.iantovics at umfst.ro Tue Dec 3 11:30:58 2024
From: barna.iantovics at umfst.ro (barna.iantovics at umfst.ro)
Date: Tue, 03 Dec 2024 18:30:58 +0200
Subject: Connectionists: =?utf-8?q?Bio-Inspired_Computation_Based_on_Mathe?=
=?utf-8?q?matical_Modeling=E2=80=94Theories_and_Applications_in_Health_Sc?=
=?utf-8?q?iences?=
In-Reply-To:
References:
Message-ID:
Dear Colleague,
You are kindly invited to contribute with a paper to the Special Issue.
_Bio-Inspired Computation Based on Mathematical Modeling--Theories and
Applications in Health Sciences_
Journal: Mathematics (2227-7390) Impact Factor 2.3, Q2
Details for submission
https://www.mdpi.com/journal/mathematics/special_issues/9B5062KZ98
It is estimated that biological life that has evolved over millions of
years will be a fruitful source of inspiration for the development of
novel computational mathematical methods in the years to come,
representing important research directions on mathematical modeling in
the field of artificial intelligence.
Diverse problems in health sciences are computationally hard and cannot
be solved efficiently via actual methods. Mathematical modeling based on
bio-inspired computing applied to solve computationally hard problems in
health sciences domains is an emerging field in this area. Bio-inspired
computing has been proven successful for solving a large variety of
problems in domains of science where other methods have not been so
effective.
In this context, this Special Issue invites researchers to contribute
original works regarding the development of bio-inspired computational
and hybrid methods for solving difficult problems in health sciences
that represent significant scientific advancements.
Kind regards,
Guest Editors
Prof. Dr. Laszlo Barna Iantovics
Prof. Dr. Matthias Dehmer
Prof. Dr. Francesco Flammini
Prof. Dr. Frank Emmert-Streib
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From dr.fahed.alkhabbas at gmail.com Tue Dec 3 08:04:07 2024
From: dr.fahed.alkhabbas at gmail.com (Dr.Fahed Alkhabbas)
Date: Tue, 3 Dec 2024 14:04:07 +0100
Subject: Connectionists: CFP: ICSC 2025 CFP: The Fifth Intelligent
Cybersecurity Conference, Tampa, Florida, USA. May 19-22, 2025
Message-ID:
[Apologies if you got multiple copies of this invitation]
The Fifth Intelligent Cybersecurity Conference (ICSC2025)
Hybrid Event
https://www.icsc-conference.org/2025/
Tampa, Florida, USA. May 19-22, 2025
Technically Co-Sponsored by IEEE Florida West Coast Section
*ICSC 2025 CFP:*
In today?s world, connected systems, social networks, and mobile
communications create a massive flow of data, which is prone to
cyberattacks. This needs fast and accurate detection of cyber-attacks.
Intelligent systems and Data analytics are important components when issues
pertaining to effective security solutions become the subject of
discussion. This is because there is an impending need for high volume and
high velocity data from different sources to detect anomalies as soon as
they are discovered. This will help reduce significantly the vulnerability
of the systems as well as improve their resilience to cyber Attacks. The
capability to process large volumes of information at real time through
utilization of tools for data analytics has many advantages vital for
analysis of cybersecurity systems. Moreover, the data collected from
sophisticated intelligent systems, cloud systems, networks, sensors,
computers, intrusion detection systems could be used to identify vital
information. This information could be used to detect how vulnerable the
systems are to risk factors, and so effective cyber security solutions can
be developed. In addition to that, the utilization of data analytics tools
in the cybersecurity field gives new insights through considering factors
such as zero-day attack detection, real time analysis, resource constrained
data processing among others.
The Intelligent Cybersecurity Conference (ICSC) addresses the use of
advanced intelligent systems in providing cybersecurity solutions in many
fields, and the challenges, approaches, and future directions. We invite
the submission of original papers on all topics related to Intelligent
Systems for Cybersecurity, with special interest in but not limited to:
- Intelligent systems for effective detection of cyber-attacks
- Advanced Intelligent systems and data analytics for Cloud/Edge systems
security
- Malware detection using intelligent systems Vulnerability assessment
- Intelligent systems for intrusion detection in Internet of Things
(IoT) systems
- Network forensics using intelligent systems and data analytics
- Data Analytics for privacy-by-design in smart health
- Datasets, benchmarks, and open-source packages
- Recourse efficient deep learning
- Adversarial Machine learning and Backdoor Attacks
- Blockchain Systems for Cyber Security
- Trustworthy AI Systems
- Intelligent Systems for Misinformation Detection
*Submissions Guidelines and Proceedings*
Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the ICSC Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion.
Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular
papers up to 8 pages and must follow the IEEE paper format. Please include
up to 7 keywords, complete postal and email address, and fax and phone
numbers of the corresponding author. Authors of accepted papers are
expected to present their work at the conference. Submitted papers that are
deemed of good quality but that could not be accepted as regular papers
will be accepted as short papers. Length of short papers can be up to 6
pages.
*Important Dates:*
- *Paper submission deadline: Jan 15th 2025*
- Notification of acceptance: April 1st, 2025
- Camera-ready Submission: April 21st, 2025
*Contact:*
Please send any inquiry on ICSC to Fahed Alkhabbas at:
fahed.alkhabbas at mau.se
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From Eleonora.Russo at santannapisa.it Tue Dec 3 16:10:23 2024
From: Eleonora.Russo at santannapisa.it (Eleonora Russo)
Date: Tue, 3 Dec 2024 21:10:23 +0000
Subject: Connectionists: PhD Opportunity at the University of Bristol:
Investigation of traumatic memory processing during sleep using through
advance machine learning
Message-ID:
The University of Bristol is pleased to offer a fully-funded PhD position to study the processing of traumatic memories during sleep using advanced machine learning techniques. The successful candidate will be supervised by an interdisciplinary team of experimental and computational neuroscientists, including Dr. Ross Purple, Dr. Sean Froudist-Walsh, and Dr. Eleonora Russo. This project will also involve collaboration with the Sant?Anna School of Advanced Studies in Pisa, Italy.
Application deadline is 4pm Monday 6th January 2025.
Find more information at:
https://www.findaphd.com/phds/project/funded-phd-decoding-the-processing-of-traumatic-memories-during-sleep-using-machine-learning/?p177256
For enquiries write to:
Dr Ross Purple
https://research-information.bris.ac.uk/en/persons/ross-j-purple
Dr. Eleonora Russo
https://www.santannapisa.it/en/eleonora-russo
Dr Sean Froudist-Walsh
https://research-information.bris.ac.uk/en/persons/sean-froudist-walsh
---------------------------------------------------------------------------------------------------------------------
Eleonora Russo, Ph.D.
PI of the Brain Dynamics Laboratory
Assistant Professor at
Sant?Anna School of Advanced Studies,
The BioRobotics Institute,
P.za Martiri della Liberta', 33
56127 Pisa, Italy
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From sebastien.destercke at hds.utc.fr Wed Dec 4 10:04:42 2024
From: sebastien.destercke at hds.utc.fr (sdesterc)
Date: Wed, 4 Dec 2024 16:04:42 +0100
Subject: Connectionists: Next SIPTA seminar: 12th December 15h Paris time,
Frederic Pichon on information fusion
Message-ID: <92B1A359-A00D-46F4-BACA-29756CAD06AE@hds.utc.fr>
Dear colleagues,
We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events.
The next seminar will take place on the 12th of December (Thursday).
The zoom link for this seminar is https://utc-fr.zoom.us/j/88087921468
For this new seminar, we are very happy to have Fr?d?ric Pichon as our speaker. Fr?d?ric Pichon is Professor of Computer Science at Universit? D?artois, in the LGI2A. Fr?d?ric is a widely recognised expert in belief functions, with interest in combinatorial optimisation, information fusion and machine learning.
On the 12th of December, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Reliability and dependence in the combination of evidence?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 12th of December, and join us for the occasion.
And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=OqZhJ6QL4x0&t
See you at the seminar!
S?bastien, Enrique and Jasper
From samarasinghe at ini.rub.de Wed Dec 4 08:21:41 2024
From: samarasinghe at ini.rub.de (Vinita Samarasinghe)
Date: Wed, 4 Dec 2024 14:21:41 +0100
Subject: Connectionists: Women in Memory Research 2025 - WiMR2025
Message-ID: <61312c0a-b6e2-4597-b886-f4cc900605ac@ini.rub.de>
*Women in Memory Research 2025*
The research unit ?Constructing scenarios of the past? seeks to promote
women in memory research. The program WiMR 2025 is made possible through
a grant from the German Research Foundation (DFG) and collaboration with
the Ruhr University Bochum.
Come and learn what an academic career looks likeand discover its
advantages. During your week at the Ruhr University Bochum (RUB)you will
participate in GEM 2025 where you will hear about the latest research in
generative episodic memory, be given the opportunityto present your
research and meet with female scientists from the field. Before and
after GEM you'll be introduced to Bochum, the RUB and the FOR 2812 labs
.
Our participating senior scientists include: Ali Boyle, London School of
Economics; Iris Engelhard, Utrecht University; Xenia Kobeleva, Ruhr U.
Bochum; Sabine Seehagen, Ruhr U. Bochum; Kristina Liefke, Ruhr
University Bochum.
Sounds exciting?
*Who can apply:*
Womenmasters students in their final year of study and recently
graduated masters students who are looking into an academic career in
the area of memory research/neuroscience. Applicants must have excellent
grades and be able to communicate in English. Selection of participants
is competitive. We only have 12 spots!
*How to apply:*
Send your application including a one page letter of motivation, a
current CV, masters transcripts and a letter of recommendation from one
of your professors. Your application should be sent, as a single PDF
document, to Vinita Samarasinghe @ for2812+gem at rub.de
?by February 15, 2025 with the subject line "WiMR
- application". If you need child care or any other support please note
this in your application.
Applications will be evaluated and ranked after the deadline has passed
and notifications will be sent out by 28.02.2025. If you accept, you
must register for GEM 2025.
*What to expect from us:*
We will provide?bed and breakfast (single occupancy), cover travel costs
(restrictions apply) and provide some meals. The program?is offered in
English.
*What we expect from you:*
You are present for all of the program and that you present your current
research in the form of a poster at GEM 2025.
*Tentative program: *
02.06.2025
AM
Welcome to Bochum
PM
GEM 2025
03.06.2025
GEM 2025
04.06.2025
AM
GEM 2025
PM
Fireside chat with senior memory researchers
05.06.2025
Lab visits
06.06.2025
Workshop
*Questions? *
Visit our website at https://for2812.rub.de/wimr2025 for more information.
Please feel free to get in touch with Vinita Samarasinghe
(for2812 at rub.de )?if you have any questions.
--
Vinita Samarasinghe M.Sc., M.A.
Science Manager
Arbeitsgruppe Computational Neuroscience
Institut f?r Neuroinformatik
Ruhr-Universit?t Bochum, NB 3/73
Postfachnummer 110
Universit?tstr. 150
D-44801 Bochum
Tel: +49 (0)234 32 27996
Email:samarasinghe at ini.rub.de
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From phitzler at googlemail.com Wed Dec 4 12:53:17 2024
From: phitzler at googlemail.com (Pascal Hitzler)
Date: Wed, 4 Dec 2024 11:53:17 -0600
Subject: Connectionists: NeuroSymbolic Approaches for Trustworthy,
Explainable Complex Systems (webinar)
Message-ID:
NeuroSymbolic Approaches for Trustworthy, Explainable Complex Systems
Webinar by Leilani Gilpin
Thursday December 12, 3pm CET (Amsterdam time)
Register at ios.tinyc.co/NAIwebinar5
This is part of the Neurosymbolic AI journal webinar series, see
https://neurosymbolic-ai-journal.com
Best Regards,
Pascal.
--
Pascal Hitzler
Lloyd T. Smith Creativity in Engineering Chair
Director, Center for AI and Data Science CAIDS
Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A
Kansas State University http://www.pascal-hitzler.de
http://www.daselab.org http://www.semantic-web-journal.net
http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com
From emergingtechnetwork.publicity at gmail.com Wed Dec 4 12:01:56 2024
From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi)
Date: Wed, 4 Dec 2024 20:01:56 +0300
Subject: Connectionists: ICSC 2025 CFP: The Fifth Intelligent Cybersecurity
Conference, Tampa, Florida, USA. May 19-22, 2025
Message-ID:
[Apologies if you got multiple copies of this invitation]
The Fifth Intelligent Cybersecurity Conference (ICSC2025)
Hybrid Event
https://www.icsc-conference.org/2025/
Tampa, Florida, USA. May 19-22, 2025
Technically Co-Sponsored by IEEE Florida West Coast Section
*ICSC 2025 CFP:*
In today?s world, connected systems, social networks, and mobile
communications create a massive flow of data, which is prone to
cyberattacks. This needs fast and accurate detection of cyber-attacks.
Intelligent systems and Data analytics are important components when issues
pertaining to effective security solutions become the subject of
discussion. This is because there is an impending need for high volume and
high velocity data from different sources to detect anomalies as soon as
they are discovered. This will help reduce significantly the vulnerability
of the systems as well as improve their resilience to cyber Attacks. The
capability to process large volumes of information at real time through
utilization of tools for data analytics has many advantages vital for
analysis of cybersecurity systems. Moreover, the data collected from
sophisticated intelligent systems, cloud systems, networks, sensors,
computers, intrusion detection systems could be used to identify vital
information. This information could be used to detect how vulnerable the
systems are to risk factors, and so effective cyber security solutions can
be developed. In addition to that, the utilization of data analytics tools
in the cybersecurity field gives new insights through considering factors
such as zero-day attack detection, real time analysis, resource constrained
data processing among others.
The Intelligent Cybersecurity Conference (ICSC) addresses the use of
advanced intelligent systems in providing cybersecurity solutions in many
fields, and the challenges, approaches, and future directions. We invite
the submission of original papers on all topics related to Intelligent
Systems for Cybersecurity, with special interest in but not limited to:
- Intelligent systems for effective detection of cyber-attacks
- Advanced Intelligent systems and data analytics for Cloud/Edge systems
security
- Malware detection using intelligent systems Vulnerability assessment
- Intelligent systems for intrusion detection in Internet of Things
(IoT) systems
- Network forensics using intelligent systems and data analytics
- Data Analytics for privacy-by-design in smart health
- Datasets, benchmarks, and open-source packages
- Recourse efficient deep learning
- Adversarial Machine learning and Backdoor Attacks
- Blockchain Systems for Cyber Security
- Trustworthy AI Systems
- Intelligent Systems for Misinformation Detection
*Submissions Guidelines and Proceedings*
Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the ICSC Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion.
Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular
papers up to 8 pages and must follow the IEEE paper format. Please include
up to 7 keywords, complete postal and email address, and fax and phone
numbers of the corresponding author. Authors of accepted papers are
expected to present their work at the conference. Submitted papers that are
deemed of good quality but that could not be accepted as regular papers
will be accepted as short papers. Length of short papers can be up to 6
pages.
*Important Dates:*
- *Paper submission deadline: Jan 15th 2025*
- Notification of acceptance: April 1st, 2025
- Camera-ready Submission: April 21st, 2025
*Contact:*
Please send any inquiry on ICSC to Fahed Alkhabbas at:
fahed.alkhabbas at mau.se
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From grzegorz at chrupala.me Thu Dec 5 05:21:30 2024
From: grzegorz at chrupala.me (=?UTF-8?Q?Grzegorz_Chrupa=C5=82a?=)
Date: Thu, 5 Dec 2024 11:21:30 +0100
Subject: Connectionists: Interspeech 2025: Call for tutorials
Message-ID:
============================================
Interspeech 2025
17 - 21 August, Rotterdam, The Netherlands
https://www.interspeech2025.org/
============================================
Call for Tutorials
https://www.interspeech2025.org/call-for-tutorials
============================================
Important Dates
===============
Proposals of tutorials due: 1 February 2025
Notification of selection to organizers: 5 April 2025
Final announcement of tutorials on the website: 20 April 2025
Tutorial Day: 17 August 2025
The Tutorial Day is an important component of INTERSPEECH. It offers a
unique opportunity for experts in various speech-related domains to
provide conference attendees with rich learning experiences. To ensure
a high-quality and diverse set of tutorials at INTERSPEECH 2025, we
invite proposals that cover both introductory and advanced topics,
from longstanding research challenges and current research trends to
emerging areas of study. These proposals should target early-stage
researchers and experienced researchers who wish to deepen their
knowledge in a new area. Each tutorial will be 3 hours long. The
tutorials are expected to provide an overview of an area of research
rather than focus on an individual presenter?s research program and
findings. While it is not mandatory to address the theme of
Interspeech 2025, "Fair and Inclusive Speech Science and Technology,?
we encourage proposals to consider how their tutorials might align
with or reflect this theme. We especially welcome proposals related to
the four strands of Interspeech 2025: Individual Differences in Speech
Processing, Under-Researched Languages, Dialects, and Accents,
Inclusive Technology for Atypical Speech Communication, and Ethical
Considerations. Proposals from individuals who identify as being
underrepresented in the speech science and technology community (due
to factors such as geographical location, economic status, race, age,
gender, sexual orientation, or any other characteristic) are
particularly welcome.
Proposals Should Include (in the following order)
? Title
? Presenter(s) name and affiliation
? Contact information (email, telephone)
? Abstract (no more than 200 words) summarizing the proposed
tutorial that could be used as an advertisement
? Description (1 ? 2 pages; no more than 800 words), which
includes a few relevant references and any webpages/material useful
for reviewing the proposal
? Relevance of the proposed tutorial for Interspeech 2025 (0.5 ? 1
page; no more than 400 words)
? Tutorial logistics, including
? Duration (1 session or 2 sessions; 3 hours = 1 session). If
1 session, please indicate your preference for morning or afternoon.
? Presenter(s) information (name(s))
? Special equipment required for the tutorial
? Description of accompanying material provided (handouts,
storage devices with media, etc.)
? Presenter information
? Biography of presenter(s)
? Key publications of presenter(s) on the tutorial topic
? List of previous tutorial experience
? Audience information
? Target audience (e.g. new researchers to the field, research
students, specialists of adjacent fields)
? Other considerations/comments
Submission Procedure
Proposals for the INTERSPEECH 2025 tutorials must be no more than 5
pages long and must conform to the format stated above; please ensure
that the headings listed above are identified clearly.
Proposals should be submitted by email to
tutorials at interspeech2025.org by Feb 1, 2025. Notifications of
selection will go out by April 5, 2025. By submitting a proposal, the
presenter(s) understand the ISCA policy of strongly encouraging video
recording of the tutorial for education purposes if the proposal is
accepted. Access to recording materials will be given through the ISCA
Video Archives.
Questions? Please contact our Tutorial Chairs at tutorials at interspeech2025.org
? Yiya Chen - Leiden University, The Netherlands
? Daan van Esch - Google (Amsterdam)
From emergingtechnetwork.publicity at gmail.com Thu Dec 5 07:47:20 2024
From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi)
Date: Thu, 5 Dec 2024 15:47:20 +0300
Subject: Connectionists: FMEC 2025 CFP: The 10th International Conference on
Fog and Mobile Edge Computing, Tampa, Florida, USA. May 19-22, 2025
Message-ID:
[Apologies if you got multiple copies of this invitation]
The 10th International Conference on Fog and Mobile Edge Computing (FMEC
2025)
https://emergingtechnet.org/FMEC2025/index.php
Tampa, Florida, USA. May 19-22, 2025
Technically Co-Sponsored by IEEE Florida West Coast Section
*FMEC 2025 CFP:*
Cloud computing provides a large range of services and virtually unlimited
available resources for users. New applications, such as virtual reality
and smart building control, have emerged due to the large number of
resources and services brought by cloud computing. However, the
delay-sensitive applications face the problem of large latency, especially
when several smart devices and objects are getting involved in human?s life
such as the case of smart cities or Internet of Things. Therefore, cloud
computing is unable to meet the requirements of low latency, location
awareness, and mobility support. To solve this problem, researchers have
introduced a trusted and dependable solution through the Fog and the Mobile
Edge Computing (FMEC) to put the services and resources of the cloud closer
to users, which facilitate the leveraging of available services and
resources in the edge networks. By this, we are moving from the core (cloud
data centers) to the edge of the network closer to the users. FMEC
dependability is based on providing user centric service. The purpose of
Fog and the Mobile Edge Computing is to run the heavy real-time
applications at the network edge directly using the billions of connected
mobile devices.
Several features enable the Fog and the Mobile Edge Computing to be a
perfect paradigm to the aforementioned purpose, which are the dense
geographical deployment of servers, supporting mobility and the closeness
to users. As in every new technology, some challenges face the vision of
the Fog and the Mobile Edge Computing, which are the administrative
policies and security concerns (i.e. secure data storage, secure
computation, network security, data privacy, usage privacy, location
privacy, etc). FMEC 2025 conference aims to investigate the opportunities
and requirements for Mobile Edge Computing dominance. In addition, it seeks
for novel contributions that help mitigate Mobile Edge Computing
challenges. That is, the objective of FMEC 2025 is to provide a forum for
scientists, engineers, and researchers to discuss and exchange new ideas,
novel results and experience on all aspects of Fog and Mobile Edge
Computing (FMEC). FMEC 2025 is Technically Co-Sponsored by IEEE Florida
Section. Researchers are encouraged to submit original research
contributions in all major areas, which include, but not limited to the
following:
- Fog and Mobile Edge Computing in unmanned aerial vehicle
communications and applications
- Fog and Mobile Edge Computing in mission-critical systems
- Intelligent Transportation Systems
- Edge-cloud computing architectures, frameworks and platforms
- Edge-cloud networking and communication
- Quality of Service (QoS) improvement techniques
- Network virtualization for Edge-to-cloud systems
- FMEC and IoT Data Communication Protocols
- Industrial Fog and Mobile Edge Computing Applications
- Mobile Cloud Computing Systems and Applications
- FMEC in Environmental Sustainability
- Trustworthy AI for Edge and Fog Computing
- Security and Privacy in Fog and Mobile Edge Computing
- Decentralized Data Management and Streaming Systems in FMEC
- Data storage, processing, and management at FMEC platform
- Federated learning and distributed machine learning in the fog and on
the edge
- 5G and fog/edge computing
- Middleware and runtime systems for fog/edge infrastructures
- Energy-efficient fog/edge computing
- Edge/fog-to-cloud APIs and protocols
- Mobility, connectivity, heterogeneity support for edge/fog services
- Load balancing/scheduling in fog/edge computing
- Crowdsourcing and establishing trust on data sources
- Decision support systems for Edge-cloud computing
- AI-based or data-driven orchestration of workflows in Edge computing
- Automatic scheduling and deployment of workflows and services in Edge
computing
- Distributed management of Edge computing
- Mechanisms and data structures for the governance of Edge computing
- Interfaces, orchestration and optimization of the Networking-Computing
continuum
- In-network computing for the edge-cloud continuum
- Novel programming models for Edge computing
- Dynamic Edge/Fog environments
- Automatic deployment and continuous dynamic composition of Edge
services
- Semantic annotation of Edge/Fog services
- AI in Autonomous Urbanism
*Submissions Guidelines and Proceedings*
Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the FMEC Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion.
Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular
papers up to 8 pages and must follow the IEEE paper format. Please include
up to 7 keywords, complete postal and email address, and fax and phone
numbers of the corresponding author. Authors of accepted papers are
expected to present their work at the conference. Submitted papers that are
deemed of good quality but that could not be accepted as regular papers
will be accepted as short papers. Length of short papers can be between 4
to 6 pages.
*Important Dates:*
Submission Date: 15 Jan 2025
Notification to Authors: 1 Apr 2025
Camera Ready Submission: 21 Apr 2025
*Contact:*
Please send any inquiry on FMEC to Sadi Alawadi at:
Sadi.alawadi at bth.se
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From annika.schuster at tu-dortmund.de Fri Dec 6 04:48:15 2024
From: annika.schuster at tu-dortmund.de (Schuster, Annika Noel)
Date: Fri, 6 Dec 2024 09:48:15 +0000
Subject: Connectionists: Lecture Series Philosophy of Science and Machine
Learning: December 12th, Stefan Buijsman
Message-ID:
We are delighted to invite you to our upcoming lecture series, Philosophy of science and Machine Learning.
Lecture Series Overview: In an age where artificial intelligence (AI) is transforming science, it becomes increasingly important to reflect critically on the foundations, methodologies, and implications of these advancements. This lecture series will investigate fundamental issues in AI from the vantage point of philosophy of science, which includes topics such as the transparency and interpretability of AI within scientific research, as well as the impact of AI on scientific understanding and explanation.
More information: https://udnn.tu-dortmund.de/index.php/activities/lecture-series-philosophy-of-science-and-machine-learning/
Upcoming Talk: We are excited to announce the next talk in the series:
Title: The impact of epistemic dependance on AI for understanding
Speaker: Stefan Buijsman, TU Delft
Date & Time: December 12th, 2024, 4:15 PM CET
Location: TU Dortmund University
Talk Abstract:
The introduction of AI into our knowledge-gathering practices and decision making often means that we also become (somewhat) epistemically dependent on these systems. We rely on them to make it easier for us to know and understand phenomena. This can be highly beneficial, similar to how we use instruments in a lot of settings to more easily acquire knowledge and understanding. The specific nature of AI, primarily its opacity and often unexpected lapses in reliability, pose challenges however to beneficial epistemic dependence. In this talk I go over risks to our competence and responsibility as we increase our epistemic dependence on AI, and offer some suggestions on how we might deal with those.
How to Attend:
* In-Person: Please send an e-mail to udnn.ht at tu-dortmund.de. If you would like to join us for dinner afterwards, please let us know so we can make a reservation.
* Online: Please register via the following form: https://forms.microsoft.com/r/W3whw0ac3B. We will send you a Zoom link before the talk.
We look forward to your participation and insightful discussions.
This lecture series is a special edition of the AI Colloquium at TU Dortmund University, co-organized by the Lamarr Institute for Machine Learning and Artificial Intelligence, the Research Center Trustworthy Data Science and Security (RC Trust), and the Center for Data Science & Simulation at TU Dortmund University (DoDas). The Lecture Series is organized by the Emmy Noether Group "UDNN: Scientific Understanding and Deep Neural Networks" (https://udnn.tu-dortmund.de/)
Kind regards,
The UDNN team
Wichtiger Hinweis: Die Information in dieser E-Mail ist vertraulich. Sie ist ausschlie?lich f?r den Adressaten bestimmt. Sollten Sie nicht der f?r diese E-Mail bestimmte Adressat sein, unterrichten Sie bitte den Absender und vernichten Sie diese Mail. Vielen Dank.
Unbeschadet der Korrespondenz per E-Mail, sind unsere Erkl?rungen ausschlie?lich final rechtsverbindlich, wenn sie in herk?mmlicher Schriftform (mit eigenh?ndiger Unterschrift) oder durch ?bermittlung eines solchen Schriftst?cks per Telefax erfolgen.
Important note: The information included in this e-mail is confidential. It is solely intended for the recipient. If you are not the intended recipient of this e-mail please contact the sender and delete this message. Thank you. Without prejudice of e-mail correspondence, our statements are only legally binding when they are made in the conventional written form (with personal signature) or when such documents are sent by fax.
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From uai.socials at gmail.com Fri Dec 6 01:08:02 2024
From: uai.socials at gmail.com (UAI Social Media)
Date: Fri, 6 Dec 2024 06:08:02 +0000
Subject: Connectionists: [CFP] UAI2025 - 41st Conference on Uncertainty in
AI - deadline Feb 10
Message-ID:
Dear all,
We are pleased to announce that the 41st edition of the Conference on
Uncertainty in Artificial Intelligence (UAI 2025
) will be held in Rio de Janeiro, Brazil, on
these dates:
-
Tutorials: Monday, July 21st, 2025
-
Main conference: Tuesday, July 22nd to Thursday, July 24th, 2025
-
Workshops: Friday, July 25th, 2025
We invite papers that describe novel theory, methodology and applications
related to artificial intelligence, machine learning and statistics. Papers
will be assessed in a rigorous double-blind peer-review process, based on
the criteria of technical correctness, novelty, whether claims are backed
up convincingly, and clarity of writing. Authors are strongly encouraged to
make code and data available.
All accepted papers will be presented in poster sessions and spotlight
presentations (physically or remotely). Selected papers will have longer
presentations. All accepted papers will be published in a volume of Proceedings
of Machine Learning Research (PMLR) .
Important dates for authors:
-
January 5th, 2025 (23:59 AoE): Paper submission starts
-
February 10th, 2025 (23:59 AoE): Paper submission deadline
-
April 3rd-10th, 2025: Author response and discussion period
-
May 6th, 2025 (23:59 AoE): Author notification
Papers can be submitted on the UAI 2025 OpenReview submission site
. Please see
the Submission Instructions
for more details on
how your manuscript should be formatted.
We are looking forward to seeing you in Rio!
On behalf of
Sara Magliacane and Silvia Chiappa
UAI 2025 Program Chairs
uai2025chairs+program at gmail.com
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From terry at salk.edu Thu Dec 5 23:17:48 2024
From: terry at salk.edu (Terry Sejnowski)
Date: Thu, 05 Dec 2024 20:17:48 -0800
Subject: Connectionists: NEURAL COMPUTATION - December 1, 2024
In-Reply-To:
Message-ID:
NEURAL COMPUTATION - Volume 36, Number 12 - December 1, 2024
Now available for online download:
http://www.mitpressjournals.org/toc/neco/36/12
http://cognet.mit.edu/content/neural-computation
-----
Articles
Sparse-Coding Variational Auto-Encoders
Victor Geadah, Gabriel Barello, Daniel Greenidge, Adam S. Charles, '
and Jonathan Pillow
Associative Learning and Active Inference
Petr Anokhin, Artyom Sorokin, Mikhail Burtsev, and Karl Friston
KLIF: An Optimized Spiking Neuron Unit for Tuning Surrogate Gradient Function
yilei zhang, Chunming Jiang
Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation
Qiang Ye, Vasily Zadorozhnyy, Edison Mucllari, Cole Pospisil, and Duc Nguyen
Letters
Fine Granularity Is Critical for Intelligent Neural Network Pruning
Alex Vivian Baldwin Heyman, Joel Zylberberg
A Fast Algorithm for All-Pairs-Shortest-Paths Suitable for Neural Networks
Markus Meister, Zeyu Jing
Optimizing Attention and Cognitive Control Costs
Using Temporally-Layered Architectures
Devdhar Patel, Terrence Sejnowski, and Hava Siegelmann
-----
ON-LINE -- http://www.mitpressjournals.org/neco
MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu
-----
From triesch at fias.uni-frankfurt.de Fri Dec 6 07:38:13 2024
From: triesch at fias.uni-frankfurt.de (Jochen Triesch)
Date: Fri, 6 Dec 2024 13:38:13 +0100
Subject: Connectionists: Daniel Messinger speaking on December 12 in
Developing Minds global online lecture series
Message-ID:
Dear colleagues,
On December 12, the Developing Minds global online lecture series is proud to host Daniel Messinger, Department of Psychology, University of Miami, Florida, United States, USA, speaking on: "Does Interaction Drive Development? Lessons from infant emotion, autism, and preschool language?
Thursday, December 12, 2024
9:00 am EST (Eastern Standard Time, US)
14:00 UTC (Universal Coordinated Time)
15:00 CET (Central European Time)
23:00 JST (Japan Standard Time)
The zoom link/credentials are:
https://uni-frankfurt.zoom-x.de/j/66558045290?pwd=Ien7tEzqeNGOdqHi7zKg4EJuYo5xLb.1
Meeting-ID: 665 5804 5290
Kenncode: 753667
Abstract:
A dynamic systems perspective suggests that developmental achievements are composed of a progression of real-time interactions. But evidence supporting this surmise is not common. Dr. Messinger employs machine learning of audio, video, and ultrawideband signals in naturalistic contexts to highlight the role of individual and interactive dynamics in constituting developmental outcomes. He will discuss a series of salient examples linking the emergence of interactive competencies with developmental outcomes. These include the emergence of interactive smiling and attachment, as well as the emergence of autism and preschool language competencies. Dr. Messinger will conclude with a discussion of the strengths and limitations of current empirical research linked to dynamic systems and developmental cascades perspectives.
Short Bio:
Dr. Daniel Messinger is a professor and Director of the Child Division in the Department of Psychology at the University of Miami where he is the Director of the Social and Behavioral Sciences Program at the Institute for Data Science and Computing. He employs computational approaches to big behavioral data to understand the interactive origins of social, language, and emotional development. His research focuses on social and communicative development in typically developing children, children with hearing loss, children with autism spectrum disorder (ASD), and children whose communicative development is affected by prenatal drug exposure and poverty.
The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit:
https://sites.google.com/view/developing-minds-series/home
Best regards,
Jochen Triesch
--
Prof. Dr. Jochen Triesch
Johanna Quandt Chair for Theoretical Life Sciences
Frankfurt Institute for Advanced Studies and
Goethe University Frankfurt
http://fias.uni-frankfurt.de/~triesch/
Tel: +49 (0)69 798-47531
Fax: +49 (0)69 798-47611
From xiao at gmu.edu Fri Dec 6 21:27:49 2024
From: xiao at gmu.edu (Xuesu Xiao)
Date: Sat, 7 Dec 2024 02:27:49 +0000
Subject: Connectionists: [meetings] [news] The 2nd Earth Rover Challenge --
ICRA 2025 Competition
Message-ID: <900FC82A-3B1C-4830-9D67-408C95EAD989@gmu.edu>
Dear roboticists,
do you want to compete with human gamers and AI agents in an around-the-world real life Mario Kart game? The Earth Rover Challenge is back at ICRA 2025!!!
It is a first of its kind "AI vs Humans" distributed robotics competition where human gamers and AI models compete to solve real-world navigation challenges across the world, where your policies will be deployed in realistic goal-oriented navigation scenarios, potentially without known maps.
As a participant, team, you'll get:
-- standardized training data (>7k hours of real-world teleop driving data collected from 20+ cities)
-- sponsored robot hardware, (2 x Earth Rover Mini (https://shop.frodobots.com/) for your own testing)
-- access to global fleet of sidewalk robots for real-world evaluation of your models (in 20+ cities across 6 continents)
-- compute resources assistance (8x H100s shared among teams)
-- well-tested SDK (https://github.com/frodobots-org/earth-rovers-sdk) to connect your model to the robots
In addition:
-- no requirement to physically attend ICRA in Atlanta to compete (as your models will be hosted in the cloud while remotely controlling robots in various cities)
-- anonymous entry allowed (i.e., only competition co-organizers will know your team's identity - mainly needed to coordinate testing trials before competition)
For more context, this is what happened at the 1st Earth Rover Challenge held at IROS 2024 in Abu Dhabi (https://x.com/frodobots/status/1850426432142573937).
Please fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSfu6HbS1-ppK5FVARtwDwTYs7FcH5SRL4xbbbsXr2j4Um1KVQ/viewform?usp=header) by January 10 2025 to express your interest in participating, and we'll be in touch with more info.
Thanks,
ERC2025 Organizing Committee
--------
Competition Website: https://sites.google.com/view/the-earth-rover-challenge/
Organizing Committee Email: erc2025-organizers at googlegroups.com
Organizing Team: FrodoBots (Michael Cho, Niresh Dravin, Santiago Pravisani), Google DeepMind (Jie Tan, Dhruv Shah, Ted Xiao, Wenhao Yu, Tingnan Zhang, Zhuo Xu), National University of Singapore (David Hsu), Georgia Tech (Naoki Yokoyama), George Mason University (Xuesu Xiao), Meta (Joanne Truong)
---------
Thanks
Xuesu
-----------------------
Xuesu Xiao, Ph.D.
--
Assistant Professor
Department of Computer Science
George Mason University
xiao at gmu.edu
https://cs.gmu.edu/~xiao/
https://robotixx.cs.gmu.edu/
??
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From dhansel0 at gmail.com Sun Dec 8 14:39:43 2024
From: dhansel0 at gmail.com (David Hansel)
Date: Sun, 8 Dec 2024 21:39:43 +0200
Subject: Connectionists: World wide VVTNS series: Wednesday, December 11,
2024, at 11:00 am EST| Noam Sadon-Grosman ELSC,
The Hebrew University of Jerusalem
In-Reply-To:
References:
Message-ID:
[image: VVTNS.png]
https://www.wwtns.online
-
on twitter: wwtns at TheoreticalWide
You are cordially invited to the lecture given by
Noam Sadon-Grosman
ELSC, The Hebrew University of Jerusalem
on the topic of
Somatomotor to Higher Order Cognition -
The Detailed Organization of the Human Cerebellum that implement
computation
The lecture will be held on zoom on Wednesday, December 11, 2024, at *11:00
am EST *
To receive the zoom link: https://www.wwtns.online/register-page
*Abstract: * The cerebellum is long known for its somatomotor functions.
Recent evidence has converged to suggest that major portions of the human
cerebellum are linked to cognitive and affective functions. In this talk, I
will present new insights into the functional organization of the human
cerebellum. Our findings reveal three distinct somatomotor representations,
including a newly identified third map that is spatially dissociated from
the two well-established body representations. Between these body
representations, a large megacluster extending across Crus I/II was
consistently found with subregions linked to higher-order cerebral
association networks. Within this megacluster, specific regions responded
to domain-flexible cognitive control, while juxtaposed regions
differentially responded to language, social, and spatial/episodic task
demands. Similarly organized clusters also exist in the caudate consistent
with the presence of multiple basal ganglia?cerebellar?cerebral cortical
circuits that maintain functional specialization across their entire
distributed extents.
*About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar
(WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in
Memoriam (April 20, 2022), Speakers have the occasion to talk about
theoretical aspects of their work which cannot be discussed in a setting
where the majority of the audience consists of experimentalists. The
seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed
by a discussion. The talks are recorded with authorization of the speaker
and are available to everybody on our YouTube channel.*
?
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From stolu at dtu.dk Mon Dec 9 03:22:46 2024
From: stolu at dtu.dk (Silvia Tolu)
Date: Mon, 9 Dec 2024 08:22:46 +0000
Subject: Connectionists: =?utf-8?q?PhD_Job_opportunity_at_the_Technical_Un?=
=?utf-8?q?iversity_of_Denmark_in_Neuromusculoskeletal_Modelling_for_Parki?=
=?utf-8?q?nson=E2=80=99s_Disease?=
Message-ID:
Exciting PhD Opportunity!
Are you passionate about advancing knowledge and making a real-world impact? Would you like to make history on biomedical engineering?
I am thrilled to announce an opening for a PhD position in ?Neuromusculoskeletal Modelling for Parkinson?s Disease ?
? Position Details:
This role offers a unique opportunity to work on cutting-edge research in Neurodegenerative diseases, supported by a team of experts in computational neuroscience and neurorobotics and access to world-class resources.
? Location: DTU - Technical University of Denmark (DTU Electro)
? Application Deadline: 20/1/2025
? Why Join Us?
?? Immersive learning environment
?? Collaboration with leading researchers from DTU (Assoc. Prof. Silvia Tolu) and KTH Royal Institute of Technology (Prof. Arvind Kumar)
?? Opportunity to shape the future and achieve your academic goals.
Apply now, check how at the link below:
? https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/4362/?utm_medium=jobshare
Best regards / Med Venlig Hilsen,
Silvia Tolu
Associate Professor
Department of Electrical and Photonics Engineering (ELECTRO)
DTU - Technical University of Denmark
Elektrovej
Building 326, room 106
2800 Kgs. Lyngby
Direct +45 45253928
email: stolu at dtu.dk
[A logo for a lab Description automatically generated]
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From M.Khosla at tudelft.nl Mon Dec 9 07:16:34 2024
From: M.Khosla at tudelft.nl (Megha Khosla)
Date: Mon, 9 Dec 2024 12:16:34 +0000
Subject: Connectionists: WSDM 2025: Call for Participation
Message-ID: <76D4CF3E-3749-4F0E-941B-96795FFCD3EE@tudelft.nl>
We are excited to announce that the Registration Portal for WSDM 2025 is now open!
Key Details:
Registration Link: https://www.wsdm-conference.org/2025/registration/
Early-bird Registration Deadline: December 31, 2024
Explore WSDM 2025 Highlights:
Accepted Papers: https://www.wsdm-conference.org/2025/accepted-papers/
Workshops: https://www.wsdm-conference.org/2025/workshops/
Tutorials: https://www.wsdm-conference.org/2025/tutorials/
? WSDM Cup 2025
The WSDM Cup competition is ongoing!
Details: https://www.wsdm-conference.org/2025/2025-wsdm-cup-lmsys-multilingual-chatbot-arena/
Don?t miss this opportunity to be part of cutting-edge research and collaboration in web search and data mining. Stay tuned for more updates, and we look forward to seeing you at WSDM 2025!
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From japkowic at american.edu Mon Dec 9 13:43:04 2024
From: japkowic at american.edu (Nathalie Japkowicz)
Date: Mon, 9 Dec 2024 18:43:04 +0000
Subject: Connectionists: New Book: ML Evaluation: Towards Reliable and
Responsible AI
Message-ID:
Dear all,
The new book on machine learning evaluation I co-wrote with my colleague Zois Boukouvalas came out a few weeks ago and Cambridge University Press is offering a 30% discount on it and many other offerings until January 8. (Please see the attached flyer for a book description and the details on how to obtain the discount)
All the best,
Nathalie.
---
Now available:
[cid:085e7888-96a9-4ea8-a637-39d3211c658f]
www.cambridge.org/9781316518861
---
Nathalie Japkowicz, Ph.D. Links to Publications
Professor Google Scholar
Department of Computer Science DBLP
American University
http://fs2.american.edu/japkowic/www/
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From amartino at luiss.it Tue Dec 10 01:42:27 2024
From: amartino at luiss.it (Alessio Martino)
Date: Tue, 10 Dec 2024 06:42:27 +0000
Subject: Connectionists: IEEE IJCNN 2025 Special Session on Artificial
Intelligence and Complex Systems
Message-ID: <0F3DB324-D5A9-4A24-A2A3-0713E93AB59F@luiss.it>
Dear Colleagues,
We are inviting you to submit your research work to *IJCNN 2025
* Special Session *Artificial Intelligence
and Complex Systems*
We would appreciate if you forward this CfP to friends and colleagues that might be interested.
*******************************************************************************
*Special Session on Artificial Intelligence and Complex Systems*
*IEEE International Joint Conference on Neural Networks (IEEE IJCNN)*
*June 30th-July 5th, 2025. Venue - Rome, Italy.*
*******************************************************************************
SCOPE and TOPICS
The special session aims to explore the intricate relationship between Artificial Intelligence (AI) and complex systems through Complexity Theory, delving into the understanding of modern AI systems such as deep learning architectures and large language models (e.g., GPT/ChatGPT, BARD, Llama, Anthropic, etc.) as complex dynamic systems. With a focus on stochastic processes, explainable AI, cognitive approaches, multimodal learning, AI and security, and AI and bias, the session will serve as a multidisciplinary platform that extends beyond engineering to include cognitive science, linguistics, philosophy, and other relevant fields. Specifically, we welcome researchers and engineers in AI and complex systems theory, cognitive scientists, linguists, and philosophers as well as industry professionals seeking to apply complexity theory in AI solutions to submit their works to this special session to investigate on the following four objectives:
- To investigate how Complexity Theory can offer invaluable tools for analyzing AI systems, particularly in the context of dynamic behavior, emergent properties, and stochastic processes.
- To explore how AI can be employed to study and understand complex systems, including information granulation (Granular Computing) and multi-agent environments.
- To establish new methodologies for measuring the intelligence and linguistic understanding of AI systems through the lens of Complexity Theory.
- To discuss the future directions and next steps in the intersection of AI and Complexity Theory in reaching artificial general intelligence (AGI).
Topics of interest include (but are not limited to):
- Emergent Behavior and Stochastic Processes in AI Systems: Understanding how complex systems theory can explain the adaptive, emergent characteristics and stochastic outputs of AI.
- Multifractal and Stochastic Analysis of AI: Utilizing complexity theory for the multifractal and stochastic analysis of AI systems.
- Dynamic Systems Theory in AI: How dynamic systems theory can be applied to AI for better system analysis and prediction.
- Explainable AI: Investigating methods for making complex AI systems understandable and interpretable.
- Cognitive Approach in AI: Exploring how cognitive science can inform and improve AI systems.
- Multimodal Learning: The role of multimodal learning in enhancing the capabilities of AI systems.
- AI in Multi-Agent Complex Systems: Exploring the role of AI in the study and understanding of multi-agent complex systems.
- AI and Security: Discussing the implications of complexity theory for AI in cybersecurity.
- AI and Bias: Addressing the challenges and solutions for bias in AI systems.
- Linguistic and Philosophical Aspects: Investigating the implications of complexity in AI for language models, meaning, and other linguistic aspects, as well as philosophical considerations.
*******************************************************************************
IMPORTANT DATES
* Paper Submission Deadline: January 15th, 2025
* Paper Acceptance Notification: March 31st, 2025
* Final Paper Submission & Early Registration: May 1st, 2025
*******************************************************************************
SUBMISSION GUIDELINES
The submission procedure, deadlines, and paper format are the same as the *IEEE
IJCNN 2025 *main conference. In particular, we recall that papers must be
submitted through the *IEEE IJCNN 2025* online submission system
by selecting "AICS: Artificial Intelligence and Complex Systems" as primary subject area amongst the Main Tracks on IJCNN 2025.
*******************************************************************************
ORGANIZERS and CONTACT
- *Prof. Alessio Martino* ? LUISS University, Rome, Italy
Email: amartino at luiss.it
- *Prof. Enrico De Santis* ? Sapienza University of Rome, Italy
Email: enrico.desantis at uniroma1.it
- *Prof. Antonello Rizzi* ? Sapienza University of Rome, Italy
Email: antonello.rizzi at uniroma1.it
Official Special Session Website:
________________________________________
Alessio Martino, PhD
Assistant Professor of Computer Science
LUISS Guido Carli University
Department of Business and Management
Viale Romania 32, 00197 Rome, Italy (Room 508)
Phone: (+39) 06-85225957
E-mail: amartino at luiss.it
La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. ? vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie.
This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks
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From emanuel.dinardo at uniparthenope.it Tue Dec 10 05:49:27 2024
From: emanuel.dinardo at uniparthenope.it (EMANUEL DI NARDO)
Date: Tue, 10 Dec 2024 10:49:27 +0000
Subject: Connectionists: [CfP] Special Session: Data Science:
Multidisciplinary Perspectives to Tame the Data Revolution
Message-ID:
[Apologies if you receive multiple copies of this CFP]
Call for Papers - SPECIAL SESSION "DATA SCIENCE: MULTIDISCIPLINARY PERSPECTIVES TO TAME THE DATA REVOLUTION" @ IJCNN2025
June 30-July 5, 2025, Rome, Italy
https://sites.google.com/view/dsijcnn25/home-page
***ABOUT***
The digital transformation is inextricably influencing our lives today. The constant flow of data and technological innovations have reshaped the way we live. The advent of technologies such as cloud computing, the Internet of Things, and Artificial Intelligence (AI) has given rise to an interconnected digital ecosystem, where billions of devices generate an enormous amount of data and information. This "data explosion? is much more than a mere technological challenge. It is a true revolution that is profoundly affecting our society.
Data Science holds the key to tame this revolution. It allows to make the most of this huge amount of data, creating concrete value out of it while enabling new, smart processes and applications. Through sophisticated algorithms and advanced analysis techniques, data science allows to extract knowledge from this mass of raw data, reveal hidden patterns, predict future trends, and support sound decision-making. Data science promises, and is already delivering, unmatched efficiency and efficacy touching every sector of our society, from smart cities that optimize traffic and resource management, to intelligent transportation systems that improve safety and efficiency, to digital healthcare that promises more accurate diagnoses and personalized treatments. In the industrial sector, the analysis of data from production lines optimizes processes, reduces waste, and improves quality. In finance, machine learning algorithms predict market trends, assess credit risk, and prevent fraud. Data science is thus becoming the engine of progress, opening new frontiers and offering innovative solutions to complex problems.
However, this data-driven revolution comes with new challenges. On the one hand, security and privacy, as well as additional non-functional requirements, must be enforced along the entire data-driven pipeline, from data ingestion to AI model deployment, demanding a rethink of the traditional CIA (Confidentiality, Integrity, Availability) triad. On the other hand, a whole new set of (legal) requirements emerge, starting from the ethical implications of AI, to ensure that data-driven technologies are used responsibly and for the benefit of the society as a whole. In addition, a responsible usage of these technologies also implies the usage of large computing infrastructures in a sober, environment-friendly manner.
In a nutshell, the data-driven ecosystem represents an extraordinary opportunity for progress and innovation. This means that a multidisciplinary approach is needed to fully exploit its potential, integrating technological, scientific, and ethical skills. This is the only way to build a future in which data are at the service of humanity, contributing to creating a just, sustainable, and prosperous society.
***IMPORTANT DATES***
- Submission due: January 15th, 2025
- Notification to authors: March 31st, 2025
- Camera-ready and early registration due: May 1st, 2025
***CALL FOR RESEARCH PAPERS***
The special session welcomes regular papers submissions. The topics of interest include (but are not limited to):
- Data Architectures
- Data integration and interoperability
- Data processing, analytics and visualization
- Data quality and utility
- Data shaping, modeling and design
- Data sovereignty and governance
- Data storage, preparation and operation
- Data trustworthiness and ethics
- Open science and open data
- Process mining and business intelligence
- Multimodal data processing
- Deep Neural Networks
- Artificial Intelligence
- Generative AI
- Symbolic Computing
- AI security and security for AI
- Cloud-edge continuum
***SUBMISSION INSTRUCTIONS***
Submissions must follow the IJCNN2025 rules (https://2025.ijcnn.org/authors/initial-author-instructions). Regular papers must be submitted at https://cmt3.research.microsoft.com/IJCNN2025/ selecting the *Main track* and specifying *Data Science: Multidisciplinary Perspectives to Tame the Data Revolution* as *primary Subject Area*. All papers will be evaluated and selected on the basis of their quality, relevance, and timeliness.
Accepted papers will be included in the conference proceedings.
***COMMITTEES AND CHAIRS***
ORGANIZERS
- Nicola Bena, University of Milan
- Emanuel Di Nardo, University of Naples Parthenope
- Angelo Ciaramella, University of Naples Parthenope
- Claudio A. Ardagna, University of Milan
This call for papers and additional information about the conference can be found at https://sites.google.com/view/dsijcnn25/home-page
Chairs can be contacted at nicola.bena at unimi.it and emanuel.dinardo at uniparthenope.it
------
Emanuel Di Nardo, PhD
University of Naples Parthenope
Naples, Italy
emanuel.dinardo at uniparthenope.it
https://research.emanueldinardo.com
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From riccardo.guidotti at unipi.it Tue Dec 10 02:43:43 2024
From: riccardo.guidotti at unipi.it (Riccardo Guidotti)
Date: Tue, 10 Dec 2024 07:43:43 +0000
Subject: Connectionists: CfP: 3rd World Conference on eXplainable Artificial
Intelligence
Message-ID:
3rd World Conference on eXplainable Artificial Intelligence
-----------------------------------------------------------
Artificial intelligence has seen a significant shift in focus towards designing and developing intelligent systems that are interpretable and explainable. This is due to the complexity of the models, built from data, and the legal requirements imposed by various national and international parliaments. This has echoed both in the research literature and the press, attracting scholars worldwide and a lay audience. An emerging field with AI is eXplainable Artificial Intelligence (xAI), devoted to producing intelligent systems that allow humans to understand their inferences, assessments, predictions, recommendations and decisions. Initially devoted to designing post-hoc methods for explainability, eXplainable Artificial Intelligence (xAI) is rapidly expanding its boundaries to neuro-symbolic methods for producing self-interpretable models. Research has also shifted the focus on the structure of explanations and human-centred Artificial Intelligence since the ultimate users of interactive technologies are humans.
The World Conference on Explainable Artificial Intelligence (https://xaiworldconference.com/2025/) is an annual event that aims to bring together researchers, academics, and professionals, promoting the sharing and discussion of knowledge, new perspectives, experiences, and innovations in the field of Explainable Artificial Intelligence (xAI). This event is multidisciplinary and interdisciplinary, bringing together academics and scholars of different disciplines, including Computer Science, Psychology, Philosophy, Law and Social Science, to mention a few, and industry practitioners interested in the practical, social and ethical aspects of the explanation of the models emerging from the discipline of Artificial intelligence (AI).
The conference organisation encourages submissions related to eXplainable AI and contributions from academia, industry, and other organizations discussing open challenges or novel research approaches related to the explainability and interpretability of AI systems. Topics include, and are not limited to:
Technical methods for XAI
Ethical Considerations for XAI
Psychological Notions & concepts for XAI
Social examinations of XAI
Legal & administrative considerations of/for XAI
Safety & security approaches for XAI
Applications of XAI-based systems
Website: https://xaiworldconference.com/2025/
For more details https://xaiworldconference.com/2025/call-for-papers/
Submission
----------
Submitted manuscripts must be novel and not substantially duplicate existing work. Manuscripts must be written using Springer?s Lecture Notes in Computer Science (LNCS) in the format provided here. Latex and word files are admitted; however, the former is preferred. All submissions and reviews will be handled electronically. The conference has a no dual submission policy, so submitted manuscripts must not be currently under review at another publication venue.
Articles must be submitted using the easy-chair platform here: https://easychair.org/conferences/?conf=xai2025
While registering on the platform, the contact author must provide the following information: paper title, all author names, affiliations, postal address, e-mail address, and at least three keywords. The conference will not require a strict page number, as we believe authors have different writing styles and would like to produce scientific material differently. However, the following types of articles are admitted:
Full articles between 12 and 24 pages (including references)
Short articles between 8 and 12 pages (including references)
Appendixes and supplemental material
------------------------------------
Appendixes and supplemental material must be placed within the article and the maximum amount of pages mentioned above. In other words, everything must be within 24 pages (for full articles) and 12 pages (for short articles).
Special track articles
----------------------
The article submitted to the special tracks follows the submission procedure of the main track and must be submitted via easy-chair, as mentioned above. The types of articles admitted are full and shorter, as described above. The authors of an article to be associated with a special track must select the name of such special track in the list of topics in easy-chair, along with other relevant topics.
Authors commit to reviewing
---------------------------
By submitting to the conference, each senior author of a manuscript volunteer to be added to the pool of potential PC members/reviewers for the conference and may be asked to review manuscripts. This does not apply to authors who have already agreed to contribute to the conference in some capacity (e.g., as PC/SPC members of the main conference or special tracks, area chairs, or members of the organizing committee) and authors who are not qualified to be in the programme committee.
Ethical & Human Subjects Considerations
---------------------------------------
The conference organisers expect authors to discuss the ethical considerations and the impact of the presented work and/or its intended application, where appropriate. Additionally, all authors must comply with ethical standards and regulatory guidelines associated with human subjects research, including using personally identifiable data and research involving human participants. Manuscripts reporting on human subjects research must include a statement identifying any regulatory review the research is subject to (and identifying the form of approval provided) or explaining the lack of required review.
Submission and publication of multiple articles
-----------------------------------------------
Each author is limited to no more than a combined limit of 4 submissions to the main conference track, and authors may not be added or deleted from papers following submission.
Important Dates
---------------
*All dates are Anywhere on Earth time (AoE)
Special track proposals
-----------------------
Proposal submission (contact): December, 15, 2024
Notification of acceptance & final instructions December, 20, 2024
Articles (main track & special tracks)
--------------------------------------
Authors/title registration deadline on submission platform (easy-chair)*: February, 10, 2025
Article upload deadline on submission platform (easy-chair)*: February, 15, 2025
Paper bidding for reviewers February 15-18, 2025
Notification of acceptance*: March, 7th, 2025
Registration (payment) and camera-ready* (upload to easy-chair): March, 7th, 2025
Article presentation instructions notification June, 2025
Accepted article presentation (at xAI-2025) beginning of July, 2025 (to be confirmed)
Publication (Springer CCIS series) September/October, 2025
*full, short and special track articles
Late-breaking work & demos
--------------------------
Late-breaking work & demo author/title/abstract registration on submission platform (easy-chair): March, 15, 2025
Late-breaking work & demo article upload deadline on submission platform (easy-chair): March, 20, 2025
Notification of acceptance: March, 30, 2025
Registration (payment) & Late-breaking work & demo camera-ready (upload to easy-chair): April, 5, 2025
Late-breaking work & demo presentation instructions notification June, 2024
Late-breaking work & demo presentations (at xAI-2025) beginning of July, 2025 (to be confirmed)
Publication (planned with CEUR-WS.org*) September/October, 2025
*Proceedings shall be submitted to CEUR-WS.org for online publication
Doctoral consortium (DC) proposals
----------------------------------
DC Proposal author/title registration deadline on submission platform (easy-chair): March, 15, 2025
DC Proposal uploads deadline on the submission platform (easy-chair): March, 20, 2025
Notification of acceptance: March, 30, 2025
Registration (payment) April, 5, 2025
DC presentation and meeting instructions notification June, 2025
Doctoral consortium meeting (at xAI-2024) beginning of July, 2025 (to be confirmed)
Publication (planned with CEUR-WS.org*) September/October, 2025
*Proceedings shall be submitted to CEUR-WS.org for online publication
Conference
----------
The World Conference on eXplainable AI will take place the 9-11 of July, 2025, Istambul, Turkey
Review Process
--------------
The Peer-Review process
-----------------------
All articles submitted within the deadlines and per the guidelines will be subjected to a single-blind review. Authors can also opt-out to disclose their names. However, authors will not know the names of their reviewers. Papers that are out of scope, incomplete, or lack sufficient evidence to support the basic claims may be rejected without full review. Manuscripts that do not conform to the specified formatting style will be desk-rejected. A non-dual policy submission exists, and articles submitted parallel to another conference/journal will be desk-rejected. Furthermore, reviewers will be asked to comment on whether the length is appropriate for the contribution. Each submitted article will be reviewed by at least two appropriate committee members (main/special track programme committee, late-breaking work/demo/DC committee).
After completion of the review process, the authors will be informed about the acceptance or rejection of the submitted work. The reviewers? comments will be available to the authors if they are not desk-rejected. In case of acceptance, authors must meet the recommendations for improvement and prepare and submit the definitive version of the work up to the camera-ready paper submission deadline. In case of failure to consider the recommendations made by the reviewers, the organizing committee, the chairs and the editors reserve the right not to include these works in any of the planned conference proceedings.
The article?s final version must follow the appropriate style guide and contain the authors? data (names, institutions and emails) and the ORCID details. Submitted articles will be evaluated according to their originality, technical soundness, significance of findings, contribution to knowledge, clarity of exposition and organisation and replicability.
Code of Ethics
--------------
Inspired by the code of ethics put forward by the Association of Computing Machinery, the programme committee, supervised by the general conference chairs and organisers, has the right to desk-reject manuscripts that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes or implications that disadvantage minoritized communities. Further, reviewers of the scientific committee will be explicitly asked to consider whether the research was conducted in compliance with professional, ethical standards and applicable regulatory guidelines. Failure to do so could lead to a desk rejection.
Publication & indexing
----------------------
Each accepted and presented full, short paper (for the main and special tracks), presented either as an oral presentation or as a poster, will be included in the conference proceedings by Springer in Communications in Computer and Information Science, edited by the general/PC chairs. At least one author of each accepted paper must pay the related fees and register for the conference by the deadline. The official publication date is when the publisher makes the proceedings available online. This date will be after the conference and can take some weeks.
If authors want to publish their article OPEN ACCESS (upon a fee with Springer), please refer to this page: https://xaiworldconference.com/2024/springer-open-access/
For more details https://xaiworldconference.com/2025/call-for-papers/
--
Riccardo Guidotti
Dipartimento di Informatica
Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa
Mail: riccardo.guidotti at unipi.it
Web: https://kdd.isti.cnr.it/people/guidotti-riccardo
KDD Lab, Room: 363
Phone:+39 050 221 3134
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From efipatm at gmail.com Tue Dec 10 07:11:30 2024
From: efipatm at gmail.com (Efi)
Date: Tue, 10 Dec 2024 14:11:30 +0200
Subject: Connectionists: =?utf-8?q?Live_free_=27Hitz/AIDA_AI_Excellence_e-?=
=?utf-8?q?Lecture=27_by_Dr=2E_Javier_de_la_Rosa_-_Artificial_Intel?=
=?utf-8?q?ligence_Lab_=28National_Library_of_Norway=29=3A_=22The_M?=
=?utf-8?q?=C3=ADmir_Project=3A_Impact_of_copyrighted_materials_in_?=
=?utf-8?q?LLMs=22=2C_December_12=2C_2024_-_15=3A00_CET=2E?=
Message-ID:
Dear AI scientist/engineer/student/enthusiast,
Dr. Javier de la Rosa - Artificial Intelligence Lab (National Library of
Norway) will deliver the e ? lecture: *"The M?mir Project: Impact of
copyrighted materials in LLMs"*
? *Date: 12 December 2024*
? *Time*: *15:00 ? 16:00 CET*
? *Registration [here ]*
*?* For more details, click *here
*
The *International AI Doctoral Academy (AIDA) *, a
joint initiative of the European R&D projects AI4Media
, ELISE , Humane AI Net
, TAILOR *, *VISION
, is very pleased to offer you top quality
scientific lectures
in the framework of AIDA AI Excellence Lecture Series
on several current
hot AI topics. Lectures will be offered alternatingly by:
- Top highly cited senior AI scientists internationally or
- Young AI scientists with promise of excellence (AI sprint lectures)
These lectures are disseminated through multiple channels and email lists
(we apologize if you received it through various channels). If you want to
stay informed on future lectures, you can register in the email lists AIDA
email list and CVML email list
.
Upcoming AI Excellence Lectures:
- Prof. Dr. Juergen Gall, ?From Forecasting Human Behavior to
Forecasting Extreme Weather and Climate Events?, 17/12/24, 17:00 CET
- Associate Prof. Ekaterina Shutova, "Cross-lingual information sharing
in multilingual language models, 30/01/2025, 15:00 CET.
- Prof. Dr. Gerard Pons-Moll, ?How to train large scale 3D human
foundation models?, 4/2/25, 17:00 CET
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J.
Stefanowski
AIDA AI Excellence Lecture Series committee members
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From bpaassen at techfak.uni-bielefeld.de Tue Dec 10 08:39:49 2024
From: bpaassen at techfak.uni-bielefeld.de (Benjamin Paassen)
Date: Tue, 10 Dec 2024 14:39:49 +0100
Subject: Connectionists: =?utf-8?q?Invitation_to_the_Interdisciplinary_Col?=
=?utf-8?q?lege_Spring_School=2C_G=C3=BCnne=2C_Lake_M=C3=B6hne=2C_Germany?=
=?utf-8?q?=2C_March_14-21=2C_2025?=
Message-ID:
Dear Colleagues,
we would like to invite you to the Interdisciplinary College (IK) 2025.
The IK is an intense spring school covering cognitive science,
neuroscience, biology, computation, psychology, artificial intelligence,
robotics, philosophy, and so on. It is a unique and enriching
educational experience for undergraduates, graduates, postgraduates, and
other researchers that takes place at Lake M?hne in Germany from March
14 to March 21. To register and find more details, please visit our
website: https://www.interdisciplinary-college.org
The event is designed to bring together researchers and students from
diverse academic backgrounds who share a passion for interdisciplinary
learning and research. This year's program offers an exciting lineup of
courses, workshops, and activities that span various disciplines and
promote collaborative, innovative thinking. The focus topic this year is
Augmenting Minds and Bodies with courses on bionic prothesis research,
AI in education, uncertainties in large language models, and many more.
What to expect:
? Diverse range of courses and workshops led by distinguished experts.
? Opportunities to connect with fellow academics and professionals in
interdisciplinary fields.
? Engaging discussions and lectures on cutting-edge research.
? A global platform for sharing your academic expertise and experiences.
The Early-bird registration deadline ends January 8th!
Best wishes
Benjamin Paa?en (Bielefeld University / German Research Center for
Artificial Intelligence)
Cosima Prahm (Charit? University Medicine Berlin, BG Klinikum Trauma
Hospital Berlin)
Terrence C. Stewart (National Research Council of Canada / University of
Waterloo Collaboration Centre)
Chairs of the IK2025
--
Jun. Prof. Benjamin Paa?en
Knowledge Representation and Machine Learning
Faculty of Technology
Bielefeld University
preferred pronouns: they/them
Office: CITEC 1.220
Inspiration 1
33619 Bielefeld
Germany
Tel: +49 521 106 87838
e-mail: bpaassen at techfak.uni-bielefeld.de
website: bpaassen.gitlab.io
From tomg at princeton.edu Tue Dec 10 09:18:45 2024
From: tomg at princeton.edu (Tom Griffiths)
Date: Tue, 10 Dec 2024 14:18:45 +0000
Subject: Connectionists: Postdoctoral positions in AI (and cognitive
science) at Princeton
Message-ID: <76A87F13-A6BE-4F77-8B01-08DFF898CA86@princeton.edu>
Dear colleagues,
The Princeton Laboratory for Artificial Intelligence is advertising for AI Postdoctoral Research Fellows aligned with three research initiatives: Princeton Language and Intelligence, focused on studying large AI models; AI for Accelerating Invention, focused on applications of AI to engineering; and Natural and Artificial Minds, focused on the relationship between AI and human cognition. AI Postdoctoral Research Fellows will receive a competitive salary, benefits, office and equipment, compute resources, and yearly research support. Candidates are encouraged to apply by the start-of-review date, December 31, 2024 to guarantee consideration.
Application links are available here: https://ai.princeton.edu/ai-lab/employment
For more information about the AI Lab and research initiatives, see: https://ai.princeton.edu/ai-lab
Best wishes,
Tom.
?
Tom Griffiths
Director, Princeton Laboratory for Artificial Intelligence
Henry R. Luce Professor of Information Technology, Consciousness and Culture
Departments of Psychology and Computer Science
Princeton University
http://cocosci.princeton.edu/tom/
From thomas.j.palmeri at vanderbilt.edu Tue Dec 10 13:27:27 2024
From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J)
Date: Tue, 10 Dec 2024 18:27:27 +0000
Subject: Connectionists: Open Rank Professor of the Practice positions in
Vanderbilt's College of Connected Computing
Message-ID: <8EAF1D57-0466-43D5-BECD-DABCCBFE0959@vanderbilt.edu>
As part of the launch of Vanderbilt University?s new College of Connected Computing (https://news.vanderbilt.edu/2024/03/25/vanderbilt-to-establish-a-college-dedicated-to-computing-ai-and-data-science/), there are multiple positions for Professors of the Practice (open rank at the assistant, associate, full levels). This new multidisciplinary college will be dedicated to computer science, data science, AI, and other computational areas, and will connect with computational strengths at Vanderbilt in psychology, neuroscience, and vision science.
https://apply.interfolio.com/159626
Description
Join the inaugural faculty cohort at Vanderbilt University?s new College of Connected Computing. Become part of the community whose vision is to build a transformative college dedicated to computer science, AI, data science and related fields. We have opened five full-time Professor of the Practice faculty positions. We are seeking well-qualified applicants at all ranks to join our 10 current teaching professors and over 50 tenure and tenure track faculty in building and supporting this vision. Applicants with a background in computer science, data science, quantitative social science, digital humanities, and other computationally oriented disciplines are encouraged to apply.
As a member of our growing department in the new college, teaching faculty will enjoy a 2/3 teaching load. Our average class size is 45 students with over 20 courses having 35 or fewer students. Faculty are well supported by TA?s and undergraduate graders. Teaching faculty typically teach undergraduate core courses with the opportunity to teach upper-level courses and to develop additional courses as our curriculum evolves under the new vision for computer science. Our teaching faculty can also supplement their 9-month salary with additional teaching opportunities, many of which are offered online.
Teaching faculty will participate in service to the college, engaging in novel efforts to broaden participation, deepen undergraduate research opportunities and widen access to computational thinking studies for students across the university. We are building innovative programs and launching fresh initiatives that will appeal to the interests of a diverse faculty. This is your opportunity to build or reshape your career and participate in our vision of computer science for all.
--------------------------
Thomas J. Palmeri
Centennial Chair
Department Chair
Professor of Psychology
Professor of Computer Science
Professor of Ophthalmology and Visual Sciences
507 Wilson Hall
Vanderbilt University
111 21st Avenue South
Nashville, Tennessee 37240
email: thomas.j.palmeri at vanderbilt.edu
lab: http://catlab.psy.vanderbilt.edu
pronouns: he/him/his
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From dhansel0 at gmail.com Tue Dec 10 13:36:58 2024
From: dhansel0 at gmail.com (David Hansel)
Date: Tue, 10 Dec 2024 20:36:58 +0200
Subject: Connectionists: REMINDER: World Wide VVTNS series: Wednesday,
December 11, 2024, at 11:00 am EST| Noam Sadon-Grosman ELSC,
The Hebrew University of Jerusalem
In-Reply-To:
References:
Message-ID:
[image: VVTNS.png]
https://www.wwtns.online
-
on twitter: wwtns at TheoreticalWide
You are cordially invited to the lecture given by
Noam Sadon-Grosman
ELSC, The Hebrew University of Jerusalem
on the topic of
Somatomotor to Higher Order Cognition -
The Detailed Organization of the Human Cerebellum that implement
computation
The lecture will be held on zoom on Wednesday, December 11, 2024, at *11:00
am EST *
To receive the zoom link: https://www.wwtns.online/register-page
*Abstract: * The cerebellum is long known for its somatomotor functions.
Recent evidence has converged to suggest that major portions of the human
cerebellum are linked to cognitive and affective functions. In this talk, I
will present new insights into the functional organization of the human
cerebellum. Our findings reveal three distinct somatomotor representations,
including a newly identified third map that is spatially dissociated from
the two well-established body representations. Between these body
representations, a large megacluster extending across Crus I/II was
consistently found with subregions linked to higher-order cerebral
association networks. Within this megacluster, specific regions responded
to domain-flexible cognitive control, while juxtaposed regions
differentially responded to language, social, and spatial/episodic task
demands. Similarly organized clusters also exist in the caudate consistent
with the presence of multiple basal ganglia?cerebellar?cerebral cortical
circuits that maintain functional specialization across their entire
distributed extents.
*About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar
(WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in
Memoriam (April 20, 2022), Speakers have the occasion to talk about
theoretical aspects of their work which cannot be discussed in a setting
where the majority of the audience consists of experimentalists. The
seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed
by a discussion. The talks are recorded with authorization of the speaker
and are available to everybody on our YouTube channel.*
?
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From newsletters at tommasoturchi.fyi Wed Dec 11 04:57:47 2024
From: newsletters at tommasoturchi.fyi (Tommaso Turchi)
Date: Wed, 11 Dec 2024 10:57:47 +0100
Subject: Connectionists: [2nd CfP] Adaptive eXplainable AI Workshop 2025
Message-ID:
*[Apologies for cross-posting]*
Please share widely with interested colleagues and networks!
# CALL FOR PAPERS: Adaptive eXplainable AI Workshop 2025
We are delighted to announce the second edition of the Adaptive XAI (AXAI) Workshop, to be held in conjunction with ACM IUI 2025. As the integration of Artificial Intelligence into daily decision-making processes intensifies, the need for clear communication between humans and AI systems becomes crucial. This workshop is dedicated to exploring the design and development of intelligent interfaces that adaptively explain AI's decision-making processes, with a strong focus on human-centric principles.
## Important Dates
* Submission Deadline: January 13, 2025
* Notification: January 20, 2025
* Camera Ready: February 10, 2025
* Workshop Date: March 24, 2025
## Submission Guidelines
* Length: 5-10 pages
* Format: CEUR-ART 1-column Template
* Submission Website: https://cmt3.research.microsoft.com/AXAI2025/
## Workshop Focus
In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, this workshop seeks to explore, understand and develop interfaces that dynamically adapt, thereby creating explanations of AI-based systems that both relate to and resonate with a range of users with different explanation-based requirements.
As AI's role in our lives becomes ever more embedded, the ways in which such systems explain elements about the system need to be malleable and responsive to the ever-evolving individual's cognitive state, relating to contextual needs/focus and to the social setting.
## Topics
Building on the success of our first edition, we welcome submissions that address, but are not limited to, the following emerging trends and challenges:
1. **Personalized XAI Interfaces**
* Adaptive systems responding to users' evolving needs
* Context-aware explanation mechanisms
* User modeling for explanation adaptation
2. **Novel Interaction Modalities for XAI**
* Multimodal explanation interfaces
* Immersive XAI experiences
* Visual Languages for AI interaction
3. **Ethical Considerations in Adaptive XAI**
* Transparency and trust
* User autonomy
* Fairness in adaptive systems
4. **Domain-Specific XAI Applications**
* Healthcare
* Finance
* Autonomous systems
5. **Evaluation Methodologies**
* Assessment frameworks for adaptive interfaces
* User studies and empirical evaluations
* Metrics for explanation quality
6. **Over-reliance and Automation Bias**
* Maintaining appropriate user skepticism
* Engagement strategies
* Balance between trust and critical thinking
7. **LLMs in XAI**
* Potential and limitations
* Human-understandable explanation generation
* Integration with existing XAI frameworks
8. **Interactive Machine Learning**
* User-in-the-loop systems
* Real-time adjustments
* Dynamic explanation generation
9. **Hybrid Decision-Making Frameworks**
* Human-AI collaboration
* Adaptive explanation support
* Knowledge integration
## Organizers
* Tommaso Turchi, University of Pisa
* Alessio Malizia, University of Pisa
* Fabio Patern?, CNR-ISTI, Pisa
* Simone Borsci, University of Twente
* Alan Chamberlain, University of Nottingham
* Andrew Fish, University of Liverpool
For more information, please visit our website at https://axai.trx.li or contact Tommaso Turchi (tommaso.turchi at unipi.it).
Join us in Cagliari, Sardinia (Italy) to shape the future of human-AI interaction!
We encourage you to forward this call to relevant mailing lists and share with colleagues who might be interested in contributing to this workshop!
//==============================\\
Tommaso Turchi
Department of Computer Science
University of Pisa
\\==============================//
From akennedy at scripps.edu Wed Dec 11 06:47:27 2024
From: akennedy at scripps.edu (Ann Kennedy)
Date: Wed, 11 Dec 2024 11:47:27 +0000
Subject: Connectionists: Funded PD positions in behavior forecasting,
neural population modeling, RL/decision-making models
Message-ID:
The Kennedy lab is recruiting for multiple funded postdoctoral positions in theoretical and computational neuroscience, following our recent lab move to Scripps Research in San Diego, CA!
Ongoing projects in the lab span topics in:
*
reservoir computing with heterogeneous cell types
*
reinforcement learning/control theory analysis of complex behavior
*
neuromechanical whole-organism modeling
*
diffusion models for imitation learning/forecasting of mouse social interactions
*
joint analysis/modeling of effects of internal states on neural + vocalization + behavior data
With additional NIH and foundation funding for:
*
characterizing progression of behavioral phenotypes in Parkinson?s
*
modeling cellular/circuit mechanisms underlying internal state-dependent changes in neural population dynamics
*
characterizing neural correlates of social relationships across species
Projects are flexible and can be tailored to applicants? research and training goals, and there are abundant opportunities for new collaboration with local experimental groups.
San Diego has a fantastic research community and very high quality of life. Our campus is located at the Pacific coast, at the northern edge of UCSD and not far from the Salk Institute. Postdoctoral stipends are well above NIH guidelines and include a relocation bonus, with research professorship positions available for qualified applicants.
More information about the lab at https://www.kennedylab.org.
Please email Ann Kennedy akennedy at scripps.edu with inquiries.
Ann Kennedy
Associate Professor
Dorris Neuroscience Center
The Scripps Research Institute
La Jolla, CA 92037
kennedylab.org
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From sprokopets at hse.ru Wed Dec 11 08:47:59 2024
From: sprokopets at hse.ru (=?koi8-r?B?8NLPy8/QxcMg89fF1MzBzsEg5M3J1NLJxdfOwQ==?=)
Date: Wed, 11 Dec 2024 13:47:59 +0000
Subject: Connectionists: HSE University Tenure Track 2025
In-Reply-To: <9f65ad0b785b4a14971dce699a4f49bb@hse.ru>
References: <9f65ad0b785b4a14971dce699a4f49bb@hse.ru>
Message-ID: <4f77c01b82a148588acd429b410a374b@hse.ru>
Good afternoon!
We are pleased to announce the start of the search for tenure track positions at HSE University Moscow.
The Faculty of Computer Science is looking for tenure-track assistant professor positions in various computer science areas.
Assistant Professor Positions in Computer Science at HSE Moscow
Requirements:
Candidates must hold a recent PhD in Computer Science or a related field from a recognized university. Preferred qualifications include teaching experience at top foreign universities. Proficiency in English is essential; knowledge of Russian is not required.
Successful candidates will conduct impactful research with institutional support. Positions typically begin in September 2025, with an initial three-year term.
Application Process:
To apply, submit your CV, research statement, and a recent research paper online. Two recommendation letters should be sent directly to the Review Committee at iri at hse.ru by January 15, 2025.
We would greatly appreciate it if you could share this announcement with your colleagues and anyone else who might be interested in this position.
[cid:55a78f7e-96b6-4e92-b91e-e8c81e53799d]
Svetlana Prokopets
International Cooperation Manager
Faculty of Computer Science
HSE University, Moscow, Russia
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From aditya_gilra at yahoo.com Wed Dec 11 09:12:57 2024
From: aditya_gilra at yahoo.com (Aditya Gilra)
Date: Wed, 11 Dec 2024 14:12:57 +0000 (UTC)
Subject: Connectionists: Spring School on Control Theory and Reinforcement
Learning, 17-21 March 2025, at CWI, Amsterdam, NL
References: <718803071.1365103.1733926377913.ref@mail.yahoo.com>
Message-ID: <718803071.1365103.1733926377913@mail.yahoo.com>
Dear all,
We invite registrations for the Spring School on ControlTheory and Reinforcement Learning from 17-21 March 2025, at the CentrumWiskunde & Informatica (CWI, research institute for mathematics and computer science in the Netherlands). This spring school emphasizes connections acrosscontrol theory, reinforcement learning and stochastic approximation, enablingstudents to access these broader themes and start to work on cross-cuttingprojects. The school will be at a preparatory PhD level, suitable for advancedMaster's and starting PhD students in these areas.
The Spring School is part of a Research Semester Programmeat CWI, with further workshops planned in 2025. Please see the full programmehere:
https://www.cwi.nl/en/events/cwi-research-semester-programs/control-theory-and-reinforcement/
Please apply for the spring school here:
https://www.cwi.nl/en/events/cwi-research-semester-programs/spring-school-control-theory-and-reinforcement-learning/
If you have any questions about our Spring School, pleasecontact events at cwi.nl .
We look forward to seeing you.
On behalf of the organizers of the Research SemesterProgramme:
Control Theory and Reinforcement Learning: Connections &Challenges.
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From phitzler at googlemail.com Wed Dec 11 12:25:55 2024
From: phitzler at googlemail.com (Pascal Hitzler)
Date: Wed, 11 Dec 2024 11:25:55 -0600
Subject: Connectionists: NeSy2025 CfP: 19th International Conference on
Neurosymbolic Learning and Reasoning, Santa Cruz (CA, USA), September 8-10,
2025
Message-ID:
**
*We invite you to submit papers to the 19th International Conference on
Neurosymbolic Learning and Reasoning (NeSy 2025), held in Santa Cruz
(CA, USA)from September 8-10, 2025.*
*
NeSy is the premier annual conference of the research community working
on neurosymbolic AI, integrating symbolic and neural approaches to
learning, reasoning, and problem-solving in AI. Accepted papers of NeSy
2025 will be published in a volume of Proceedings of Machine Learning
Research (PMLR) .
Website: https://2025.nesyconf.org
Correspondence: organisers at nesyconf.org
===== Relevant Dates =====
Full and short paper abstract deadline: February 28, 2025
Full and short paper submission: March 7, 2025
Author notification: April 18, 2025
Camera-ready papers: May 19, 2025
Late short paper and extended abstract submission: June 6, 2025
Author notifications: July 3, 2025
Camera-ready papers: July 18, 2025
All deadlines are 11:59 PM, AoE.
===== Subject Areas =====
The NeSy conference invites theoretical, experimental and applied
submissions on the integration of neural networks and symbolic AI.
This year, we have three Special Tracks:
*
Neurosymbolic Generative Models;
*
Neurosymbolic Methods for Trustworthy and Interpretable AI;
*
Knowledge Graphs, Ontologies and Neurosymbolic AI
In addition, we invite papers on all topics related to Neurosymbolic AI,
including but not limited to
*
Informed Machine Learning;
*
Addressing knowledge representation and reasoning tasks using neural
networks;
*
Code generation and knowledge engineering with neural networks,
including with LLMs;
*
Studying and improving LLM reasoning with Neurosymbolic methods;
*
Neurosymbolic cognitive modelling;
*
Languages for Neurosymbolic AI, including differentiable and
probabilistic programming languages;
*
Embedding methods for structured information;
*
Circuits and knowledge compilation for Neurosymbolic AI;
*
Specification and verification of machine/deep learning systems;
*
Neurosymbolic methods for reinforcement learning, causality,
structure learning, transfer, meta, multitask and continual
learning, relational learning, graph neural networks;
*
Applications of Neurosymbolic AI, including in education, law,
simulation, finance, healthcare, robotics, software engineering,
systems engineering, bioinformatics, and visual intelligence;
===== Submission guidelines =====
This year, papers must be submitted before the deadline on OpenReview:
https://openreview.net/group?id=nesyconf.org/NeSy/2025/Conference
Full paper submissions should not exceed 10 pages, excluding references
and supplementary materials. Please use the Latex template available at
this link
.
Short paper and late short paper submissions should be original pieces
of work, or position papers. They should not have been published
elsewhere and should not exceed 5 pages, excluding references and
supplementary materials. Please use the same Latex template as full
paper submissions.
Full and short papers will be in the conference proceedings of NeSy
2025, which will be published with the Proceedings of Machine Learning
Research (PMLR).
Extended abstracts should provide an overview of relevant papers in
neurosymbolic AI and should not exceed 2 pages. The original papers
should be recently published pieces of work at top conferences (e.g,
NeurIPS, ICML, ICLR, AAAI, IJCAI etc.) and journals such as (e.g., AIJ,
JAIR, MLJ, IEEE TNNLS, NAI etc.).
The conference will be held in-person, and authors of accepted papers
are required to attend the conference physically to present their work.
Please note that short paper and extended abstract notification is
rather late to allow for late-breaking results ? authors from outside
the US need to make sure that they have enough time to obtain US visas.
For any question about paper submissions, contact us at:
organisers at nesyconf.org .
Reviewing will be double-blind. After notification, reviews of accepted
papers will be posted online on OpenReview along with the originally
submitted version of the paper. Reviewers remain anonymous unless they
opt in to them being named.
Accepted paper authors will be invited to submit extended versions to a
special issue of the Neurosymbolic Artificial Intelligence
journal.
All questions about submissions should be addressed to
organisers at nesyconf.org .
===== Organizing Committee =====
organisers at nesyconf.org
General/Local Chair:
+ Leilani H. Gilpin (UC Santa Cruz, Barcelona)
Program Chairs:
+ Pascal Hitzler (Kansas State University)
+ Eleonora Giunchiglia (Imperial College London)
+ Emile van Krieken (University of Edinburgh)
**
Neurosymbolic Generative Models Special Track Chairs:
+ Thiviyan Thanapalasingam (Sony AI)
+ Kareem Ahmed (University of California, Irvine)
**
Neurosymbolic Methods for Trustworthy and Interpretable AI Special Track
Chairs:
+ Abhilekha Dalal (Kansas State University)
+ Mehwish Alam (Institut Polytechnique de Paris)
Knowledge Graphs, Ontologies and Neurosymbolic AI Special Track Chairs:
+ Cogan Shimizu (Wright State University)
*
--
Pascal Hitzler
Lloyd T. Smith Creativity in Engineering Chair
Director, Center for AI and Data Science CAIDS
Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A
Kansas State Universityhttp://www.pascal-hitzler.de
http://www.daselab.org http://www.semantic-web-journal.net
http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com
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From rbianchi at fei.edu.br Wed Dec 11 14:37:50 2024
From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi)
Date: Wed, 11 Dec 2024 19:37:50 +0000
Subject: Connectionists: =?utf-8?q?2nd_Call_for_Participation_for_RoboCup_?=
=?utf-8?q?Humanoid_League_=E2=80=93_New_Submission_Deadline?=
Message-ID: <9BD09923-4303-4F4E-B865-A24993596CE0@fei.edu.br>
* 2nd Call for Participation ? New Submission Deadlines *
RoboCup 2025
Humanoid Soccer Competition https://humanoid.robocup.org/
July 15 - 21, 2025, Salvador, Brazil
===========================================================
The RoboCup Humanoid League invites teams to apply for participation at the
RoboCup 2025 Humanoid Soccer Competition in Salvador, Brazil.
The Humanoid League will host competitions in the following categories:
* KidSize: 40 - 100cm robot height (FIFA size 1 ball)
* AdultSize: 100 - 200cm robot height (FIFA size 5 ball)
For more detailed class definitions, please refer to the humanoid league home page at https://humanoid.robocup.org/
Teams do not need to provide a full robot team to apply for competing in the Humanoid Soccer Competition.
The qualifying round of Drop-In games will be played with only one robot per team.
Teams that cannot provide a full team of robots (four robots in KidSize and two in AdultSize)
will be grouped to form a playable team for the main tournament games.
Teams are also encouraged to form and apply as joint teams. Joint proposals will be judged on their combined merit.
In case of a sufficient number of qualified teams, the sub-leagues (KidSize and/or AdultSize)
will be divided into League A and League B.
Teams are seeded into the leagues based on the results of an initial round of Drop-In games.
For the qualification process, teams must provide the following material:
1) Robot Video
---------------------------------------
Teams need to provide a video of their robot demonstrating the robots' autonomous soccer playing skills.
The recommended skills needed for qualification are:
* localization of unknown ball position,
* walking ability towards the ball,
* robot positioning at the ball for kicking,
* kicking the ball towards the goal,
* ability of getting up autonomously from a fall (KidSize only)
We encourage teams to include in the video more complex and intelligent behavior such as demonstrating localization,
and robots playing in a game, recordings from actual soccer matches are admissible.
If possible, please provide footage that demonstrates the robot behavior without wires attached.
The qualification video must be supplied as a link via YouTube.
The maximum duration of the video must not exceed 5 minutes.
The qualifying team is responsible to ensure that the video adheres to YouTube's TOS (especially in regard to music copyright)
to prevent the video from being blocked for the reviewers.
Teams that do not provide a qualification video or a viewable video will not be qualified!
2) Software Description
---------------------------------------
During the registration process, a form will be provided to submit details about the algorithms
used or anticipated to be used for the participation in the 2025 competition.
Algorithms shall be described in such detail that they can be reproduced by other teams.
If software from other teams or standard algorithms are used, references need to be included.
If the algorithm has been adapted to be used in the competition, those deviations need to be
described in appropriate details.
The form will include questions in the following areas:
* Walking
* Vision
* Localization
* Team Communication
* Behavior
* Contributions to the RoboCup community, e.g. software releases, paper publications, provision of league infrastructure or data sets
Responses to the questions are expected to reflect the current or anticipated status
of the software during the RoboCup 2025 competition.
If the software has not changed or no changes are anticipated to be made until the competition,
teams may copy & paste a response from previously submitted material.
3) Extended Abstract
---------------------------------------
A two-page extended abstract must be submitted. For teams which have previously participated in the Humanoid League,
the extended abstract needs to:
* include lessons learned from the participation in previous RoboCup competitions
* highlight major problems that the team is trying to solve for the upcoming competition
* outline the plans for the major changes that the teams anticipate to have implemented by the RoboCup 2025 competition
* describe the implementation status of the changes planned by the time of submitting the application
For teams which have never participated in the RoboCup Humanoid League, the Extended Abstract needs to pitch the scientific
aspects of their humanoid robotic system and highlight their research interests.
The Extended Abstract is limited to 2 pages maximum and must be submitted in PDF format.
Extended Abstracts are designed to highlight the changes and scientific developments since the last RoboCup.
Thus, we expect the usage of material from previous TDPs or Extended Abstracts to be minimal.
If used, they need to be cited appropriately. Submissions of last year's Extended Abstract will be desk-rejected.
The Extended Abstract must follow the LNCS format which can be downloaded from
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
Teams that do to follow the LNCS formatting and style guidelines will not be qualified.
No exceptions to this rule will be made.
4) Robot Specification
---------------------------------------
Regardless of the kid or adult size competition, a one-page specification (PDF) must be provided for each
different type of humanoid robot used by the team that includes the following:
* Robot picture
* Robot name
* Height of the robot
* Weight of the robot
* Walking speed in cm/s
* Number of degrees of freedom and type of motors on each kinematic chain of the robot
* Type of sensors used (incl. type of camera(s) and specific manufacturer part number (e.g. ?6-DoF IMU? is NOT an acceptable description))
* Computing unit(s)
* Materials (e.g. Torso aluminum, legs and arms CFRP)
* Electronics (e.g. CM730 for communicating with servos)
* Battery (e.g. 3S1P 2200mAh LiPo)
* Open Source link if applicable
* Other specs
5) Letter of Commitment
---------------------------------------
A one-page letter addressed to the RoboCup Humanoid League Technical Committee including the following:
* a statement committing to participate in the RoboCup 2025 Humanoid League competition,
* a statement committing to make a person with sufficient knowledge of the rules available as referee during the competition.
The letter must be signed (by hand or using a digital signature software as Adobe or DocuSign) by
the team leader and submitted either as a JPG, PNG or PDF file.
The TC may include the fulfillment of the statement of commitment of participation as well as the performance of the
team's referee in previous RoboCup competitions into consideration for qualification.
Each application to the Humanoid Soccer Competition will be reviewed by two members of the
Technical Committee and two other teams applying to the Humanoid Soccer Competition.
The combined reviewing score will decide whether a team qualifies for participation.
Reviewing other team's material is mandatory for teams that want to participate in the Humanoid Soccer Competition.
Failing to provide an adequate review by the provided deadline will have consequences for the team?s own qualification status.
6) Rules
---------------------------------------
The current version of the rules may be found here at the Humanoid League website: https://humanoid.robocup.org/materials/rules/.
We expect the final version of the 2025 rules to be published in early spring 2025.
7) Registration
---------------------------------------
The following information is required for registration:
* Team name
* URL of the team's home page
* Name of team leader or team contact person
* E-mail address of team leader or contact person
* Postal address of the team, team leader or contact person
* Competition category: Humanoid Soccer Competition KidSize or AdultSize
Please note that teams applying for participation in several categories must submit individual application material for each class,
and pay the appropriate registration fee for each category. At least one team member must register on each team.
Furthermore, teams in different categories must be able to compete, and guarantee to have members acting as referees
available independently and at the same time.
8) Plagiarism
---------------------------------------
Plagiarism, loosely the unattributed use of other peoples' words, code, and ideas is not tolerated in the RoboCup community.
See the point "Publishing Ethics" at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines for a more detailed description.
The teams and team members that plagiarize another peoples' work and present it as their own will be disqualified.
For a first offense, the team and team members will be banned from RoboCup competition for two years (usually the current and next year).
Harsher penalties will be applied to repeat offenders or extremely serious cases of plagiarism.
A team may be disqualified at any time for plagiarism, even after the competition has started.
RoboCup will not reimburse teams for any expenses related to their disqualification.
9) Online Submission
---------------------------------------
All qualification material must be submitted online at:
https://submission.robocuphumanoid.com/login
Please be informed that the submission system has been updated and migrated to a new server.
Consequently, the system has been reset, and all account information has been deleted.
Therefore, it is necessary for all users to create new accounts on the system.
10) Important Dates
---------------------------------------
Humanoid Soccer Competition
* Submission system open: December 10th, 2024
* Submission deadline: January 31th, 2025
* Team Review Period: February 3rd - 7th, 2025
* Announcement of qualified teams: February 21th, 2025
11) Publication
---------------------------------------
Please note that after the announcement of the qualified teams the qualified teams submitted material will be
made publicly available on the Humanoid League website.
Teams applying for participation, therefore, implicitly grant the right of publication of their qualification material to the Humanoid League.
12) Visa Process
---------------------------------------
If you are a citizen of a country that needs a Visa for traveling to the Brazil, please start the VISA process as soon as you receive your notification of qualification.
If you are not sure if you're eligible for a VISA-exempt, please consult the official website of the Brazilian government for information,
at https://www.gov.br/mre/pt-br/assuntos/portal-consular/vistos/informacoes-sobre-vistos-para-estrangeiros-viajarem-ao-brasil
(Information is in English below each paragraph in Portuguese).
For more information about the humanoid league, please refer to the humanoid league home page at
https://humanoid.robocup.org/ and join the humanoid league mailing list at: https://lists.robocup.org/listinfo/robocup-humanoid
With best regards,
Technical Committee of RoboCup Humanoid League 2025
Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do.
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From lrubchin at iu.edu Wed Dec 11 15:20:48 2024
From: lrubchin at iu.edu (Rubchinsky, Leonid L)
Date: Wed, 11 Dec 2024 20:20:48 +0000
Subject: Connectionists: Call for tutorials and workshops at the 34rd Annual
Computational Neuroscience Meeting CNS*2025
In-Reply-To:
References:
Message-ID:
Dear Colleagues,
We are requesting proposals for workshops and tutorials at the 34th Annual Computational Neuroscience Meeting, CNS*2025 (Florence, Italy, 5-9 July 2025). Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2025 Meeting. This is an excellent opportunity to reach international audience of computational neuroscientists participating in this meeting.
CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2025-call-for-workshops
Priority Deadline for proposals: February 1, 2025. Contact: workshops at cnsorg.org
CALL FOR TUTORIALS: https://www.cnsorg.org/cns-2025-call-for-tutorials
Deadline for proposals: February 1, 2025. Contact: tutorials at cnsorg.org
INFORMATION ABOUT CNS*2025: https://www.cnsorg.org/cns-2025
Florence, Italy, 5-9 July 2025
Keynote Speakers
Ken Miller (Columbia)
Konrad Kording (UPenn)
Sara Solla (Northwestern)
Maurizio Mattia (Istituto Superiore di Sanit? )
Registration and abstract submission will open in mid-January 2025.
With kind regards,
Leonid Rubchinsky
OCNS Vice President,
on behalf of the OCNS Board of Directors
***********************
Leonid Rubchinsky, PhD
Professor
Department of Mathematical Sciences, Indiana University Indianapolis
Stark Neurosciences Research Institute, Indiana University School of Medicine
402 N. Blackford St
Indianapolis, IN 46202-3216
lrubchin at iu.edu
math.indianapolis.iu.edu/~lrubchin/
***********************
From kai.sauerwald at fernuni-hagen.de Thu Dec 12 03:24:41 2024
From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald)
Date: Thu, 12 Dec 2024 09:24:41 +0100
Subject: Connectionists: [RuleML+RR 2025] Call for papers
Message-ID:
###############################################################################
The 9th International Joint Conference on Rules and Reasoning (RuleML+RR
2025)
== Call for Papers ==
*** RuleML+RR 2025 ***
*** 22-24 September 2025 ***
*** ?stanbul, T?rk?ye ***
Abstract: June 2nd, 2025
Paper: June 9th, 2025
Homepage: https://2025.declarativeai.net/events/ruleml-rr
RuleML+RR 2025 is part of Declarative AI 2025
(https://2025.declarativeai.net/)
###############################################################################
RuleML+RR 2025 is a leading international joint conference in the field
of rule-based reasoning. One of the main goals of RuleML+RR is to build
bridges between academia and industry in the area of semantic reasoning.
RuleML+RR 2025 aims to bring together researchers and practitioners
interested in the foundations and applications of rules and reasoning.
It provides a forum for stimulating cooperation between different
communities focused on the research, development, and applications of
rule-based systems. We solicit high-quality papers related to
theoretical advances, novel technologies, and applications that involve
rule-based representation and reasoning or other declarative forms of
artificial intelligence.
The RuleML+RR 2025 conference is part of the event ?Declarative AI:
Rules, Reasoning, Decisions, and Explanations?
(https://2025.declarativeai.net/) and is co-located with DecisionCAMP
2025 and the Reasoning Web Summer School. Apart from the main track, it
features:
* Rule Challenge
(https://2025.declarativeai.net/events/ruleml-rr/rule-challenge),
* Doctoral Consortium
(https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium),
* Industry Track
(https://2025.declarativeai.net/events/ruleml-rr/industry-track),
* Project Networking Session
(https://2025.declarativeai.net/events/ruleml-rr/networking-session)
*** Topics ***
RuleML+RR welcomes research from all areas of Rules and Reasoning. The
topics of the conference include, but are not limited to:
* Ontology/Semantic Web
* Rules for AI and AI for Rules
* Rules and Reasoning / Logics
* Rules-Based Systems
* Rules and Interoperability
* Constraints and Schema
* System Descriptions, Applications and Experiences of Ontologies and Rules
See the conference homepage for more details on the topics:
https://2025.declarativeai.net/events/ruleml-rr/cfp
*** Important Dates ***
Main track:
Abstract submission: June 2, 2025
Paper submission: June 9, 2025
Notification: July 28, 2025
Conference: September 22?24, 2025
Associated events (Rule Challenge, Doctoral Consortium, Industry Track,
and ProjectNetworking Session)
- July 10, 2025: Paper submission deadline
- July 31, 2025: Notification of acceptance
For each of these deadlines, a cut-off point of 23:59 AOE applies.
**Submission and Publication**
High-quality papers related to theoretical advances, novel technologies,
and artificial intelligence applications concerning explainable
algorithmic decision-making that involve rule-based representation and
reasoning are solicited.
We accept the following submission formats for papers:
- Long papers (up to 15 pages in LNCS style excluding references, plus 2
additional pages for references)
- Short papers (up to 8 pages in LNCS style excluding references, plus 1
additional page for references)
Long papers should present original and significant research and/or
development results. Short papers should concisely describe general
results or specific applications, systems, or position statements. All
submissions must be prepared in Springer's LNCS style
(http://www.springer.com/comp/lncs/authors.html).
Submitted papers must not substantially overlap with papers that have
been published or that are simultaneously submitted to a journal or a
conference/workshop with formal proceedings. Double submission to a
workshop with informal proceedings is allowed. Papers put on arXiv are
also allowed as long as they are not refereed (i.e., formally reviewed
by peers).
Submissions to the RuleML+RR conference
- abide by the page limits (see above)
- are not anonymous
- can have additional material included as an external report
(appendices to the submission are not permitted and a paper should be
self-contained)
Papers should be written in English and submitted using EasyChair:
https://easychair.org/conferences/?conf=rulemlrr2025
The conference proceedings will be published by Springer in the Lecture
Notesin Computer Science series (LNCS) after the conference. Proceedings
of the associated events will be published by CEUR. Special Issues of
Theory and Practice of Logic Programming and Transactions on Graph Data
and Knowledge are planned with extended versions of selected papers.
The main track's best paper will be awarded the RuleML+RR Harold Boley
Distinguished Paper Award 2025 and best student paper will be awarded
the RuleML+RR Best Student Paper Award 2025.
The best RuleML Challenge paper will be awarded the RuleML+RR Best Rule
Challenge Paper Award 2025. The best Doctoral Consortium paper will be
awarded the RuleML+RR Best Doctoral Consortium Paper Award 2025.
***Chairs***
Program Chairs
Aidan Hogan, University of Chile, Chile
Ken Satoh, National Institute of Informatics, Japan
Proceedings Chairs
Dumitru Roman, SINTEF AS, Norway
Ahmet Soylu, Kristiania University College, Norway
Rule Challenge Chairs
Alessandro Margara, Politecnico di Milano, Italy
Tom?? Kliegr, Prague University of Economics and Business, Czechia
Doctoral Consortium Chairs
Shqiponja Ahmetaj, TU Wien, Austria
Riccardo Tommasini, INSA Lyon, France
Industry Track Chairs
Luigi Bellomarini, Banca d?Italia, Italy
Evgeny Kharlamov, Bosch Center for Artificial Intelligence, Germany
Ioana Georgiana Ciuciu, Babe?-Bolyai University, Romania
Networking Session
Dumitru Roman, SINTEF AS, Norway
George Konstantinidis, University of Southampton, UK
Emanuel Sallinger, Vienna University of Technology, Austria
Publicity Chairs
Kai Sauerwald, FernUniversit?t in Hagen, Germany
Tor-Morten Gr?nli, Kristiania University College, Norway
Romuald Esdras Wandji, Ume? University, Sweeden
From efipatm at gmail.com Thu Dec 12 04:09:07 2024
From: efipatm at gmail.com (Efi)
Date: Thu, 12 Dec 2024 11:09:07 +0200
Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof.
Dr. Juergen Gall (University of Bonn) : "From Forecasting Human Behavior to
Forecasting Extreme Weather and Climate Events", December 17,
2024 - 17:00 CET.
Message-ID:
Dear AI scientist/engineer/student/enthusiast,
Prof. Dr. Juergen Gall (University of Bonn) will deliver the e ?
lecture: "*From
Forecasting Human Behavior to Forecasting Extreme Weather and Climate
Events":*
? *Date: 17th December 2024*
? *Time*: *17:00 ? 18:00 CET*
? *Join via Zoom: [**Zoom link
**&
passcode: 114050]*
*?* For more details, click *here
*
The *International AI Doctoral Academy (AIDA) *, a
joint initiative of the European R&D projects AI4Media
, ELISE , Humane AI Net
, TAILOR *, *VISION
, is very pleased to offer you top quality
scientific lectures
in the framework of AIDA AI Excellence Lecture Series
on several current
hot AI topics. Lectures will be offered alternatingly by:
- Top highly cited senior AI scientists internationally or
- Young AI scientists with promise of excellence (AI sprint lectures)
These lectures are disseminated through multiple channels and email lists
(we apologize if you received it through various channels). If you want to
stay informed on future lectures, you can register in the email lists AIDA
email list and CVML email list
.
Upcoming AI Excellence Lectures:
- Associate Prof. Ekaterina Shutova, "Cross-lingual information sharing
in multilingual language models, 30/1/25, 15:00 CET.
- Prof. Dr. Gerard Pons-Moll, ?How to train large scale 3D human
foundation models?, 4/2/25, 17:00 CET
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas
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From robert.legenstein at igi.tugraz.at Thu Dec 12 10:17:41 2024
From: robert.legenstein at igi.tugraz.at (Robert Legenstein)
Date: Thu, 12 Dec 2024 16:17:41 +0100
Subject: Connectionists: Tenure Track Assistant Professor Position in
Machine Learning/AI
Message-ID:
The Institute of Theoretical Computer Science at Graz University of
Technology (Austria) has opened a Tenure Track Assistant Professor
Position in the area of Machine Learning and Artificial Intelligence.
The research focus will be on basic research in the overlapping field of
sub-symbolic and symbolic AI
within the prestigious Cluster of Excellence Bilateral AI
( https://www.bilateral-ai.net ).
For details see the application portal:
https://www.tugraz.at/fakultaeten/csbme/news/jobs-grants-calls/tenure-track-professor-of-machine-learning
Application deadline is 6th of January 2025.
--
Dr. Robert Legenstein
Univ.-Professor
Institute of Theoretical Computer Science
Graz University of Technology
Inffeldgasse 16b/I, 8010 Graz, Austria
http://www.igi.tugraz.at/legi/
WebEx:https://tugraz.webex.com/meet/robert.legenstein
Follow @CompLegenstein on Twitter.
++43/316/873-5824
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From ahmed.imprs at gmail.com Thu Dec 12 23:40:11 2024
From: ahmed.imprs at gmail.com (Ahmed El hady)
Date: Fri, 13 Dec 2024 05:40:11 +0100
Subject: Connectionists: Deadline approaching School on the Origins of Life,
Behavior and Cognition 2025
Message-ID:
*School on the Origins of Life, Behavior and Cognition*
*March 10-21, 2025*
*ICTP-SAIFR,?S?o Paulo, Brazil*
*/Application Deadline:/ December 28, 2024*
School on Origins is an interdisciplinary school that tackles the
foundational questions concerning the origins of biophysical systems
which include but are not limited to : molecular, cellular, neural and
behavioral systems. We aim to find principles shared across systems
using tools from statistical physics, mathematical analysis and
numerical simulations to explore these questions. We have invited
researchers that work both on the experimental and theoretical side to
cover a variety of biophysical systems and theoretical approaches. The
school is aimed at graduate students either at the master?s or PhD level
who have a strong quantitative background and a keen interest to pursue
interdisciplinary research.
We invite students pursuing degrees in physics, computer science,
engineering, or mathematics. Those pursuing degrees in biology need to
provide evidence of strong and extensive quantitative background in
topics such as calculus, dynamical systems and numerical programming.
/There is no registration fee and limited funds are available for travel
and local expenses./
*Organizers:*
* *Ahmed El Hady*?(Cluster of Excellence Centre for the Advanced Study
of Collective Behaviour, University of Konstanz, Germany.)
* *Antonio C. Roque*?(USP Ribeir?o Preto, Brazil)
* *Daniel Y. Takahashi*?(UFRN, Brazil)
*Lecturers:*
* *Suzanne Still*?(University of Hawaii at M?noa, USA)
* *Randall Beer*?(Indiana University Bloomington, USA)
* *Asif Ghazanfar*?(Princeton University, USA)
* *Don Katz*?(Brandeis University, USA)
* *Gandhimohan M. Viswanathan*?(Universidade Federal do Rio Grande do
Norte ? UFRN, Brazil)
* *Bruno Mota*?(Federal University of Rio de Janeiro, Brazil)
* *Ana Amador*?(University of Buenos Aires, Argentina )
All details and application procedure can be found here:
https://www.ictp-saifr.org/solbc2025/
All the best,
Ahmed El Hady
Dr. Ahmed El Hady
Research Group Leader
Cluster for Advanced Study of Collective Behavior
University of Konstanz / Max Planck Institute of Animal Behavior
Universit?tsstra?e 10, 78464 Konstanz
Room ZT 907
Postbox 687
Tel.: +49 7531 88-4742
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From dr.fahed.alkhabbas at gmail.com Thu Dec 12 13:48:34 2024
From: dr.fahed.alkhabbas at gmail.com (Dr.Fahed Alkhabbas)
Date: Thu, 12 Dec 2024 19:48:34 +0100
Subject: Connectionists: Call for Papers: ICSC 2025 CFP: The Fifth
Intelligent Cybersecurity Conference, Tampa, Florida, USA. May 19-22, 2025
In-Reply-To:
References:
Message-ID:
[Apologies if you got multiple copies of this invitation]
The Fifth Intelligent Cybersecurity Conference (ICSC2025)
Hybrid Event
https://www.icsc-conference.org/2025/
Tampa, Florida, USA. May 19-22, 2025
Technically Co-Sponsored by IEEE Florida West Coast Section
*ICSC 2025 CFP:*
In today?s world, connected systems, social networks, and mobile
communications create a massive flow of data, which is prone to
cyberattacks. This needs fast and accurate detection of cyber-attacks.
Intelligent systems and Data analytics are important components when issues
pertaining to effective security solutions become the subject of
discussion. This is because there is an impending need for high volume and
high velocity data from different sources to detect anomalies as soon as
they are discovered. This will help reduce significantly the vulnerability
of the systems as well as improve their resilience to cyber Attacks. The
capability to process large volumes of information at real time through
utilization of tools for data analytics has many advantages vital for
analysis of cybersecurity systems. Moreover, the data collected from
sophisticated intelligent systems, cloud systems, networks, sensors,
computers, intrusion detection systems could be used to identify vital
information. This information could be used to detect how vulnerable the
systems are to risk factors, and so effective cyber security solutions can
be developed. In addition to that, the utilization of data analytics tools
in the cybersecurity field gives new insights through considering factors
such as zero-day attack detection, real time analysis, resource constrained
data processing among others.
The Intelligent Cybersecurity Conference (ICSC) addresses the use of
advanced intelligent systems in providing cybersecurity solutions in many
fields, and the challenges, approaches, and future directions. We invite
the submission of original papers on all topics related to Intelligent
Systems for Cybersecurity, with special interest in but not limited to:
- Intelligent systems for effective detection of cyber-attacks
- Advanced Intelligent systems and data analytics for Cloud/Edge systems
security
- Malware detection using intelligent systems Vulnerability assessment
- Intelligent systems for intrusion detection in Internet of Things
(IoT) systems
- Network forensics using intelligent systems and data analytics
- Data Analytics for privacy-by-design in smart health
- Datasets, benchmarks, and open-source packages
- Recourse efficient deep learning
- Adversarial Machine learning and Backdoor Attacks
- Blockchain Systems for Cyber Security
- Trustworthy AI Systems
- Intelligent Systems for Misinformation Detection
*Submissions Guidelines and Proceedings*
Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the ICSC Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion.
Submitted papers must include original work, and must not be under
consideration for another conference or journal. Submission of regular
papers up to 8 pages and must follow the IEEE paper format. Please include
up to 7 keywords, complete postal and email address, and fax and phone
numbers of the corresponding author. Authors of accepted papers are
expected to present their work at the conference. Submitted papers that are
deemed of good quality but that could not be accepted as regular papers
will be accepted as short papers. Length of short papers can be up to 6
pages.
*Important Dates:*
- *Paper submission deadline: Jan 15th 2025*
- Notification of acceptance: April 1st, 2025
- Camera-ready Submission: April 21st, 2025
*Contact:*
Please send any inquiry on ICSC to Fahed Alkhabbas at:
fahed.alkhabbas at mau.se
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From joern.anemueller at uni-oldenburg.de Fri Dec 13 06:37:24 2024
From: joern.anemueller at uni-oldenburg.de (=?utf-8?Q?J=C3=B6rn_Anem=C3=BCller?=)
Date: Fri, 13 Dec 2024 12:37:24 +0100
Subject: Connectionists: Ph.D. position in deep learning-based signal
processing at Oldenburg University
Message-ID: <1C7B7E11-F6D5-4546-AB27-3F6E0D08C0B0@uni-oldenburg.de>
Ph.D. position in deep learning-based signal processing at Oldenburg University
We have are looking to fill a fully funded 3-year Ph.D. student
position in the field of deep learning-based signal processing
algorithms for speech enhancement and computational audition.
The position is funded by the German research council (DFG) within
the Collaborative Research Centre SFB 1330 ?Hearing Acoustics?
(https://uol.de/sfb1330/bereich-b-algorithmen) at the Department
of Medical Physics and Acoustics, University of Oldenburg. Within
project B3 of the research centre, the Computational Audition
Group develops machine learning algorithms for signal processing
of speech and audio data.
For details, please refer to
https://uol.de/en/job/research-associate-phd-student-216.
Application deadline is Jan. 5th, 2025.
Kind regards,
J?rn Anem?ller
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From georg.langs at meduniwien.ac.at Fri Dec 13 06:32:06 2024
From: georg.langs at meduniwien.ac.at (Georg Langs)
Date: Fri, 13 Dec 2024 12:32:06 +0100
Subject: Connectionists: Tenure track Ass. Prof. ML / MedUni Vienna /
application by Dec 31st
Message-ID: <6EDC8883-FF82-4BD7-93D2-DDA4616106CF@meduniwien.ac.at>
Dear colleagues,
We are recruiting for a tenure-track Assistant Professor position in the area ?Machine Learning in the Life Sciences? at Medical University of Vienna, with an application deadline on December 31st, 2024.
The position will be a group leader at the new Comprehensive Center of AI in Medicine (CAIM) that will start in January 2025 at MedUni Vienna. It will be a dual appointment at CAIM and another Department at MedUni Wien that the candidate can choose.
CAIM will bring together ML researchers and labs from across the university at one physical place. Currently, about 15 labs are involved that will build the starting point of the center (aiml.meduniwien.ac.at).
We are looking for strong candidates in the area of ML with an interest in medical imaging, the use of ML in science, and enthusiasm for methods. With CAIM, I believe we offer an exciting interdisciplinary scientific environment. MedUni will nominate the successful candidate in a Viennese Research Group Call for a EUR 1.8 Mio startup research budget.
For any questions, please don't hesitate to reach out to me.
Here is the link to the call: https://radiologie-nuklearmedizin.meduniwien.ac.at/fileadmin/content/OE/radnuk/cir/PDF_Dateien/Assistant_Professor_in_Machine_Learning.pdf
Thank you!
Best regards,
Georg Langs
---
Univ.-Prof. DI Dr. Georg Langs
Computational Imaging Research Lab
Department of Biomedical Imaging and Image-guided Therapy
Medical University of Vienna
georg.langs at meduniwien.ac.at
https://www.cir.meduniwien.ac.at
https://aiml.meduniwien.ac.at
From Tom.Verguts at UGent.be Fri Dec 13 08:44:35 2024
From: Tom.Verguts at UGent.be (Tom Verguts)
Date: Fri, 13 Dec 2024 13:44:35 +0000
Subject: Connectionists: postdoc position
Message-ID: <1EDDA5FD-50B0-4D01-A990-AC1D92B7358A@ugent.be>
Dear colleagues
please find here https://jobs.ugent.be/job/Ghent-Doctoral-assistant-department-Experimental-psychology-9000/809610502/
an advertisement for a doctoral assistant (research and teaching at postdoctoral level) position at the department of Experimental
Psychology at Ghent University that may be relevant to you.
Best wishes,
Tom
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From nsmattei at gmail.com Fri Dec 13 15:18:00 2024
From: nsmattei at gmail.com (Nicholas Mattei)
Date: Fri, 13 Dec 2024 14:18:00 -0600
Subject: Connectionists: Call for Nominations: 2025 ACM/SIGAI Autonomous
Agents Research Award
Message-ID:
[Apologies for Multiple Postings]
Nominations are solicited for the 2025 ACM SIGAI Autonomous Agents Research
Award. This award is made for excellence in research in the area of
autonomous agents. It is intended to recognize researchers in autonomous
agents whose current work is an important influence on the field. The award
is an official ACM award, funded by an endowment created by ACM SIGAI from
the proceeds of previous Autonomous Agents conferences. The recipient of
the award will receive a monetary prize and a certificate, and will be
invited to present a plenary talk at the AAMAS 2025 conference.
How to Nominate
Anyone can make a nomination. Nominations should be made by filling out the
below google form, and should consist of a short (< 1 page) statement that
emphasizes not only the research contributions that the individual has made
that merit the award but also how the individual?s current work is an
important influence on the field.
NOTE: a candidate can only be considered for the award if they are
explicitly nominated. If you believe that someone deserves the award, then
NOMINATE THEM ? don?t assume that somebody else will!
For any questions please contact Edith Elkind (Award Chair,
edith.elkind at northwestern.edu) or Nicholas Mattei (SIGAI
Vice Chair, nsmattei at gmail.com).
Nomination Link: https://forms.gle/jud5hniSWtkrENqZ7
Important Dates
- 15 January 2025 ? Deadline for nominations
- 15 February 2025 ? Announcement of winner
- 19-23 May 2025 ? AAMAS-2025 conference in Detroit, Michigan, USA
--
*Nicholas Mattei*
Associate Professor, Tulane University
nsmattei at tulane.edu | www.nickmattei.net
Stanley Thomas Hall | 305B
+1 504 865 5782
Department of Computer Science
Tulane University
6823 St Charles Ave
New Orleans, LA 70118
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From dhansel0 at gmail.com Sun Dec 15 03:40:49 2024
From: dhansel0 at gmail.com (David Hansel)
Date: Sun, 15 Dec 2024 10:40:49 +0200
Subject: Connectionists: World wide VVTNS series: Wednesday, December 18,
2024, at 11:00 am EST| Claire Meissner-Bernard,
Friedrich Miescher Institut for biomedical research, Basel
In-Reply-To:
References:
Message-ID:
[image: VVTNS.png]
https://www.wwtns.online
-
on twitter: wwtns at TheoreticalWide
You are cordially invited to the lecture given by
Claire Meissner-Bernard
Friedrich Miescher Institut for biomedical research
Basel
on the topic of
Properties of memory networks with excitatory-inhibitory assemblies
The lecture will be held on zoom on Wednesday, December 18, 2024, at *11:00
am EST *
To receive the zoom link: https://www.wwtns.online/register-page
*Abstract: * Classical views suggest that memories are stored in assemblies
of excitatory neurons that become strongly interconnected during learning.
However, recent experimental and theoretical results have challenged this
view, leading to the hypothesis that memories are encoded in assemblies
containing both excitatory (E) and inhibitory (I) neurons. Understanding
the effects of these E-I assemblies on memory function is therefore
essential. Using a biologically constrained model of an olfactory memory
network, I will first describe how introducing E-I assemblies reorganizes
odor-evoked activity patterns in neural state space. Indeed, the ?geometry?
of neural activity provides valuable insights about the computational
properties of neural networks. I will then describe the behavior of
networks with E-I assemblies upon partial manipulation of inhibitory
neurons. Finally, I will discuss recent experimental data supporting
predictions of the model.
*About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar
(WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in
Memoriam (April 20, 2022), Speakers have the occasion to talk about
theoretical aspects of their work which cannot be discussed in a setting
where the majority of the audience consists of experimentalists. The
seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed
by a discussion. The talks are recorded with authorization of the speaker
and are available to everybody on our YouTube channel.*
?
?
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From damiano.spina at rmit.edu.au Sun Dec 15 19:17:44 2024
From: damiano.spina at rmit.edu.au (Damiano Spina)
Date: Mon, 16 Dec 2024 00:17:44 +0000
Subject: Connectionists: Labs CLEF 2025: Call for Participation
In-Reply-To:
References:
Message-ID:
RMIT Classification: Trusted
CLEF 2025
Conference and Labs of the Evaluation Forum
https://clef2025.clef-initiative.eu/
9-12 September 2025, Madrid, Spain
*** CALL FOR PARTICIPATION ***
CLEF 2025 is the 16th CLEF conference continuing the popular CLEF campaigns which have run since 2000 contributing to the systematic evaluation of information access systems, primarily through experimentation on shared tasks.
Building on the format first introduced in 2010, CLEF 2025 consists of an independent peer-reviewed conference on a broad range of issues in the fields of multilingual and multimodal information access evaluation, and a set of labs and workshops designed to test different aspects of mono and cross-language Information retrieval systems. Together, the conference and the lab series will maintain and expand upon the CLEF tradition of community-based evaluation and discussion on evaluation issues.
*** LABS REGISTRATION ***
Registration for participation in labs is now open and available at
https://clef2025.clef-initiative.eu/index.php?page=Pages/registration.html
*** 2025 TASKS ***
BioASQ: A Challenge in Large-scale Biomedical Semantic Indexing and Question Answering
https://www.bioasq.org/workshop2025
The aim of the BioASQ Lab is to push the research frontier towards systems that use the diverse and voluminous information available online to respond directly to the information needs of biomedical scientists.
CheckThat!: Lab on Subjectivity, Fact-Checking, Claim Extraction & Normalization, and Retrieval
https://checkthat.gitlab.io/clef2025/
The eighth edition of the CheckThat! lab at CLEF presents a diverse set of challenges aimed at advancing technology to support and enhance the journalistic verification process. This edition revisits core tasks in the verification pipeline while also introducing auxiliary tasks such as subjectivity identification, claim normalization, and fact-checking numerical claims, with a particular emphasis on scientific web discourse. These tasks pose complex classification and retrieval problems at both the document level, including in multilingual contexts.
ELOQUENT lab for evaluation of generative language model quality
https://eloquent-lab.github.io/
The ELOQUENT lab for evaluation of generative language model quality and usefulness addresses high-level quality criteria through a set of open-ended shared tasks implemented to require minimal human assessment effort.
eRisk: Early Risk Prediction on the Internet
https://erisk.irlab.org/
eRisk explores the evaluation methodology, effectiveness metrics and practical applications (particularly those related to health and safety) of early risk detection on the Internet.
EXIST: sEXism Identification in Social neTworks
https://nlp.uned.es/exist2025/
EXIST aims to capture and categorize sexism, from explicit misogyny to other subtle behaviors, in social networks. In 2024 the EXIST campaign included multimedia content in the format of memes, stepping forward research on more robust techniques to identify sexism in social networks. Following this line, in 2025 we will focus on TikTok videos in the challenge, thus including in the dataset the three most important sources of sexism spreading: text, images and videos. Consequently, it is essential to develop automated multimodal tools capable of detecting sexism in text, images, and videos, to raise alarms or automatically remove such content from social network because platforms? algorithms often amplify content that perpetuates gender stereotypes and internalized misogyny. This lab will contribute to the creation of applications that identify sexist content in social media across all three formats.
ImageCLEF: Multimodal Challenge in CLEF
https://www.imageclef.org/
ImageCLEF 2025 focuses on evaluating technologies for annotating, indexing, classifying, retrieving and generating multimodal data, providing access to large datasets across a veriety of scenarios, including medical, social media, and internet-based applications. Building on the success of recent editions, it encourages interdisciplinary methods by engaging participants in diverse domains, providing large amounts of challenging multimodal data and providing am evaluation platform for a large number of use cases.
JOKER: Humour in the Machine
https://www.joker-project.com/clef-2024/
JOKER aims to foster interdisciplinary approaches to the (semi-)automatic analysis and processing of humour and wordplay.
LifeCLEF: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification
https://www.imageclef.org/LifeCLEF
The LifeCLEF 2025 lab focuses on advancing AI-driven solutions for biodiversity monitoring through challenges on species and individuals recognition and prediction.
LongEval: Longitudinal Evaluation of Model Performance
https://clef-longeval.github.io/
The goal of this task is to ignite the development of Information Retrieval systems that can handle temporal data evolution. The retrieval systems evaluated in this task are expected to be persistent in their retrieval efficiency over time, as Web documents and Web queries evolve. To evaluate such features of systems, we rely on collections of documents and queries, corresponding to real data acquired from actual Web search engines.
PAN Lab on Stylometry and Digital Text Forensics
https://pan.webis.de/
PAN is a series of scientific events and shared tasks on digital text forensics and stylometry whose goal is to advance the state of the art and provide for an objective evaluation on newly developed benchmark datasets in those areas.
QuantumCLEF
https://qclef.dei.unipd.it/
The second edition of the QuantumCLEF lab is composed of three tasks and aims at: (i) Discovering and evaluating Quantum Annealing approaches compared to their traditional counterpart; (ii) Identifying new ways of formulating Information Retrieval and Recommender Systems algorithms and methods, so that they can be solved with Quantum Annealing; (iii) Establishing collaborations among researchers from different fields to harness their knowledge and skills to solve the considered challenges and promote the usage of Quantum Annealing. This lab allows participants to use real quantum computers provided by CINECA, one of the most important computing centers worldwide.
SimpleText: Simplify Scientific Text
https://simpletext-project.com/
The SimpleText track aims at improving accessibility to scientific information for everyone, developing corpora, evaluation measures, and new IR/NL models able to reduce scientific text complexity with strict faithfulness to the original text.
TalentCLEF: Skill and Job Title Intelligence for Human Capital Management
https://talentclef.github.io/talentclef/
TalentCLEF aims to drive technological advancement in Human Capital Management by establishing a public benchmark for NLP models that facilitates their application in real-world Human Resources (HR) scenarios, incorporating evaluation criteria incluiding multilingualism, fairness, and cross-industry adaptability. The lab also seeks to build a community for researchers and practitioners to generate, evaluate, and discuss ideas on the use of AI in Human Resources, pushing the state-of-the-art of NLP applications for Human Resources.
Touch?: Argumentation Systems
https://touche.webis.de/
Touch? is a series of scientific events and shared tasks on computational argumentation and causality.
*** IMPORTANT DATES ***
(may vary depending on the task)
18 November 2025: Registration opens
25 April 2025: Registration closes
10 May 2025: End of Evaluation Cycle [submission of runs]
30 May 2025: Submission of Participant Papers [CEUR-WS]
30 May?27 June 2025: Review process of participant papers
27 June 2025: Notification of Acceptance for Participant Papers [CEUR-WS]
7 July 2025: Camera Ready Participant Papers and Extended Lab Overviews [CEUR-WS] due
9-12 September 2025, CLEF 2025 Conference, Madrid, Spain
*** OVERALL COORDINATION ***
General Chairs
Laura Plaza, Universidad Nacional de Educaci?n a Distancia (UNED), Spain
Jorge Carrillo de Albornoz, Universidad Nacional de Educaci?n a Distancia (UNED), Spain
Julio Gonzalo, Universidad Nacional de Educaci?n a Distancia (UNED), Spain
Alba Garc?a Seco de Herrera, Universidad Nacional de Educaci?n a Distancia (UNED), Spain
Lab Chairs
Paolo Rosso, Universitat Polit?cnica de Val?ncia, Spain
Damiano Spina, RMIT University, Australia
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From matteo.zavatteri at unipd.it Mon Dec 16 04:00:00 2024
From: matteo.zavatteri at unipd.it (Matteo Zavatteri)
Date: Mon, 16 Dec 2024 10:00:00 +0100
Subject: Connectionists: [JAIR Special Track - 1st CFP] Integration of
Logical Constraints in Deep Learning
Message-ID:
(apologies for cross-posting)
======================================================================
Special Track on Integration of Logical Constraints in Deep Learning
----------------------------------------------------------------------
Journal of Artificial Intelligence Research (JAIR)
Deadline: May 31, 2025
Info: https://www.jair.org/index.php/jair/SpecialTrack-LogicDL
======================================================================
Track Editors:
----------------------------------------------------------------------
Alessandro Abate, University of Oxford, U.K.
Eleonora Giunchiglia, Imperial College London, U.K.
Bettina K?nighofer, Graz University of Technology, Austria
Luca Pasa, University of Padova, Italy
Matteo Zavatteri, University of Padova, Italy
======================================================================
Overview:
Over the last few years, the integration of logical constraints in Deep
Learning models has gained significant attention from research communities
for its potential to enhance the interpretability, robustness, safety, and
generalization capabilities of these models. This integration opens the
possibility of incorporating prior knowledge, handling incomplete data, and
combining symbolic and subsymbolic reasoning. Moreover, the use of logical
constraints improves generalization, formal verification, and ethical
decision-making. The versatility of logical constraint integration spans
diverse domains, presenting both research challenges and opportunities. In
recent times, there has been a growing trend in incorporating logical
constraints into deep learning models, especially in safety-critical
applications. Looking ahead, challenges in this field extend to the
development of Machine Learning models that not only incorporate logical
constraints but also provide robust assurances. This involves ensuring that
AI systems adhere to specific (temporal) logical or ethical constraints,
offering a level of guarantees in their behavior.
Thus, this special track seeks submissions on the integration of logical
constraints into deep learning approaches. We are particularly interested
in the following broad content areas.
- Formal verification of neural networks is an active area of research that
has been proposing methods, tools, specification languages (e.g., VNNLIB),
and annual competitions (e.g., VNN-COMP) devoted to verify that a neural
network satisfies a certain property typically given in (a fragment) of
first order logic.
- Synthesis aims at synthesizing neural networks that are compliant with
some given constraint. Approaches to achieve this aim range from modifying
the loss function in the training phase (i.e., soft constraint injection)
to exploit counterexample guided inductive synthesis (CEGIS).
- Monitoring: Logical constraints can be used to mitigate and/or neutralize
constraint violations of machine learning systems when formal verification
and synthesis are not possible. Shielding techniques intervene by changing
the output of the network when a constraint is being violated. Runtime
monitoring can be used to anticipate failures of AI systems without
modifying them.
- Explainability: Automated learning of formulae and logical constraints
from past executions of the system provides natural explanations for neural
network predictions and poses another avenue for future research. Formulae
and constraints offer a high degree of explainability since they carry a
precise syntax and semantics, and thus they can be "read" by humans more
easily than other explainability methods.
This special track aims to explore and showcase recent advancements in the
integration of logical constraints within deep learning models, spanning
the spectrum of verification, synthesis, monitoring and explainability, by
considering exact and approximate solutions, online and offline approaches.
The focus will also extend to encompass innovative approaches that address
the challenges associated with handling logical constraints in neural
networks.
Submissions:
This special track seeks contributions that delve into various aspects of
logic constraint integration in deep learning, including, but not limited
to:
- Learning with logical constraints
- Enhancing neural network expressiveness for logical constraints
- Formal verification (certification) of neural networks
- Automated synthesis of certified neural networks, or of AI systems with
neural nets
- Decision making: Strategy/policy synthesis for AI systems with neural
networks
- Runtime monitoring of AI systems
- Learning of (temporal) logic formulae for explainable and interpretable AI
- Scalability challenges in neural networks with logical constraints
- Real-world applications of neural networks with logical constraints
- Enhancing model explainability via logical constraints
- Design of neural networks under temporal logical requirements
Pertinent review papers of exceptional quality may also be considered.
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From efipatm at gmail.com Mon Dec 16 10:56:36 2024
From: efipatm at gmail.com (Efi)
Date: Mon, 16 Dec 2024 17:56:36 +0200
Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof.
Dr. Juergen Gall (University of Bonn) : "From Forecasting Human Behavior to
Forecasting Extreme Weather and Climate Events", December 17,
2024 - 17:00 CET.
Message-ID:
Dear AI scientist/engineer/student/enthusiast,
Prof. Dr. Juergen Gall (University of Bonn) will deliver the e ?
lecture: "*From
Forecasting Human Behavior to Forecasting Extreme Weather and Climate
Events":*
? *Date: 17th December 2024*
? *Time*: *17:00 ? 18:00 CET*
? *Join via Zoom: [**Zoom link
**&
passcode: 114050]*
*?* For more details, click *here
*
The *International AI Doctoral Academy (AIDA) *, a
joint initiative of the European R&D projects AI4Media
, ELISE , Humane AI Net
, TAILOR *, *VISION
, is very pleased to offer you top quality
scientific lectures
in the framework of AIDA AI Excellence Lecture Series
on several current
hot AI topics. Lectures will be offered alternatingly by:
- Top highly cited senior AI scientists internationally or
- Young AI scientists with promise of excellence (AI sprint lectures)
These lectures are disseminated through multiple channels and email lists
(we apologize if you received it through various channels). If you want to
stay informed on future lectures, you can register in the email lists AIDA
email list and CVML email list
.
Upcoming AI Excellence Lectures:
- Associate Prof. Ekaterina Shutova, "Cross-lingual information sharing
in multilingual language models, 30/1/25, 15:00 CET.
- Prof. Dr. Gerard Pons-Moll, ?How to train large scale 3D human
foundation models?, 4/2/25, 17:00 CET
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas
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From stehe at itu.dk Mon Dec 16 11:46:15 2024
From: stehe at itu.dk (Stefan Heinrich)
Date: Mon, 16 Dec 2024 16:46:15 +0000
Subject: Connectionists: Final call: Survey on what we mean by
'intelligence', and whether it applies to ChatGPT
In-Reply-To:
References:
Message-ID:
[apologies for cross-posting]
The term 'intelligence' is often used in various fields including Artificial Intelligence, Cognitive Science, Natural Language Processing, and Machine Learning. But research papers rarely specify what is meant by that term. As a result, we as a research community often talk past each other, even about our basic premises and goals. Authors may even change how they write their papers, based on a wrong impression of what most other researchers believe.
We are a team of CogSci/NLP researchers from the IT University of Copenhagen, Denmark. We combed through the literature to collect the key definitional criteria for 'intelligence', and we designed this survey to find out the following:
- to what degree do the researchers in different areas agree about what 'intelligence' even means?
- what role, if any, does this term play in their research agenda?
- what is their perception of the current systems based on large language models (e.g. Claude or ChatGPT)?
We would much appreciate hearing your perspective! The survey takes 5-10 minutes and is available until December 18 at this link: https://www.survey-xact.dk/LinkCollector?key=4S7VSN4MS536
Your response is anonymous and will be used for research purposes only. Anonymous and aggregated responses will be publicly available under Creative Commons-Attribution-Non-Commercial license, and we will also publish our analysis.
Project team: Bertram H?jer, Terne Sasha Thorn Jakobsen, Anna Rogers, Stefan Heinrich
Project page: https://bertramhojer.github.io/projects/intelligence-survey/
--
Best regards
***************************
Dr. Stefan Heinrich
Associate Professor
Computer Science Department
IT University of Copenhagen
https://stefanheinrich.net/
***************************
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From avellido at cs.upc.edu Mon Dec 16 10:54:16 2024
From: avellido at cs.upc.edu (Alfredo Vellido)
Date: Mon, 16 Dec 2024 15:54:16 +0000
Subject: Connectionists: 1st CFP IJCNN 25: Special Session on Explainable AI
in Neural Networks: Advances, Challenges, and Applications
Message-ID: <300a6a3ab80a8d4d9868e37a5b67f3e86d25c1e3@cs.upc.edu>
* apologies for cross-posting*
Special Session on**Explainable AI in Neural Networks: Advances, Challenges, and Applications**
**IJCNN 2025**: International Joint Conference on Artificial Neural Networks
**June 30 to July 5 2025**
https://2025.ijcnn.org/
***************************************************
The rise of AI in critical fields such as healthcare, autonomous systems, and finance demands greater transparency in decision-making processes. Neural networks, despite their high performance, remain opaque, creating a barrier to trust and accountability. The European Union?s AI Act and similar regulatory frameworks highlight the need for AI systems to be both explainable and fair. This session addresses the dual challenge of enhancing transparency in neural networks while meeting the increasing regulatory and ethical requirements for explainable AI (XAI).
The session aims to explore the latest XAI methods that make neural networks more interpretable without sacrificing performance. It will focus on the development of new techniques that meet normative standards, with a particular emphasis on bias mitigation, fairness, and societal impacts. Through an interdisciplinary approach, the session seeks to advance both the technical and regulatory aspects of XAI for neural networks, fostering collaboration between academia, industry, and policymakers.
**Technical Highlights**:
Neuro-Symbolic Alignment: Exploring methods that combine symbolic reasoning with neural networks to enhance interpretability, allowing models to perform reasoning tasks while remaining transparent.
Monosemantic Decomposition: Based on research from Anthropic, this technique focuses on breaking down neural networks into discrete, interpretable features, making it easier to understand model behaviors.
Bias Mitigation and Fairness: Addressing how XAI techniques can identify and mitigate bias in neural networks, ensuring fairness in decision-making, particularly in compliance with frameworks like the AI Act.
XAI Metrics and Evaluation: Developing standardized evaluation metrics to assess the effectiveness of XAI methods, with a particular focus on how these metrics apply to neural networks.
Societal and Ethical Implications: Discussing how XAI in neural networks contributes to broader societal impacts, including accountability, user trust, and the reduction of harmful biases.
**IMPORTANT DATES**
Deadline for submissions: 15 January 2025
Notification of decisions: 31 March 2025
We are looking forward to seeing you in Rome!
**Organizing Committee**:
Alan Perotti, CentAI Institute, Italy
Qi Chen, Victoria University of Wellington, New Zealand
Amanda Horzyk, University of Edinburgh, U.K.
Paulo JG Lisboa, Liverpool John Moores University, U.K.
Asim Roy, Arizona State University, U.S.A.
Alfredo Vellido, Universitat Polit?cnica de Catalunya, Spain
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From valle at ime.unicamp.br Mon Dec 16 17:09:27 2024
From: valle at ime.unicamp.br (Marcos Eduardo Valle (IMECC-Unicamp))
Date: Mon, 16 Dec 2024 19:09:27 -0300
Subject: Connectionists: [CFP] Complex- and Hypercomplex-valued Neural
Networks - Special Session IJCNN 2025
Message-ID:
Complex- and Hypercomplex-valued Neural Networks
https://www.ime.unicamp.br/~valle/CFPs/ijcnn2025/
https://2025.ijcnn.org/
Aim and Scope:
Complex-valued and, more generally, hypercomplex-valued neural networks
(HVNNs) constitute a rapidly growing research area that has attracted
continued interest for the last decade. Besides their natural ability to
treat multidimensional data, hypercomplex-valued neural networks can
benefit from hypercomplex numbers? geometric and algebraic properties. For
example, complex-valued neural networks are essential for adequately
treating phase and the information contained in phase, including the
treatment of wave- and rotation-related phenomena such as electromagnetism,
light waves, quantum waves, and oscillatory phenomena. Quaternion-valued
neural networks, which naturally incorporate spacial rotations and have
potential applications in three- and four-dimensional data modeling, have
been effectively used to process and analyze multivariate images such as
color and polarimetric SAR images. Despite significant theoretical
development and successful applications, many research directions in HVNNs
remain in progress. These include formally generalizing the commonly used
real-valued network architectures and training algorithms to the
hypercomplex-valued case. There are also many exciting applications in
pattern recognition and classification, nonlinear filtering, intelligent
image processing, brain-computer interfaces, time-series prediction,
bioinformatics, and robotics, to list a few. This special session aims to
be the proper forum for a systematic and comprehensive exchange of ideas,
presenting recent research results and discussing future trends in complex-
and hypercomplex-valued neural networks. We hope the proposed session will
attract potential speakers and researchers interested in joining the
community. We also expect this session to benefit and inspire computational
intelligence researchers and other specialties that need sophisticated
neural network tools.
List of Topics:
This special session welcomes papers that are or might be related to all
aspects of complex- and hypercomplex-valued neural networks. Contributions
to theoretical advances or applications are all appreciated. We also
welcome interdisciplinary contributions from other areas on the proposed
scope's borders. Topics include, but are not limited to:
-
Theoretical aspects of complex- and hypercomplex-valued neural networks
-
Complex- and hypercomplex-valued activation functions
-
Learning algorithms for complex- and hypercomplex-valued neural networks
-
Complex- and hypercomplex-valued associative memories
-
Pattern recognition, classification, and time series prediction using
hypercomplex-valued neural networks
-
Complex- and hypercomplex neural networks in nonlinear filtering
-
Dynamics of complex- and hypercomplex-valued neurons and networks
-
Chaos in the complex- and hypercomplex domain
-
Complex- and hypercomplex-valued deep neural networks
-
Spatiotemporal processing using complex- and hypercomplex-valued neural
networks
-
Frequency domain processing using complex-valued neural networks
-
Phase-sensitive signal processing
-
Applications of complex- and hypercomplex-valued neural networks in
image processing, speech processing, and bioinformatics
-
Quantum computation and quantum neural networks
-
Complex- and hypercomplex-valued neural networks in brain-computer
interfaces
-
Complex- and hypercomplex-valued neural networks in robotics
-
Complex and hypercomplex-based hardware/devices such as lightwave and
spin-wave neural devices
-
Quantum computation and quantum neural networks
Past Special Sessions:
Special sessions on complex- and hypercomplex-valued neural networks have
become a traditional event of the IJCNN conference. Thirteen special
sessions have been organized since 2006, namely:
1.
WCCI-IJCNN 2006, Vancouver - Canada;
2.
WCCI-IJCNN 2008, Hong Kong - China;
3.
IJCNN 2009, Atlanta - USA;
4.
WCCI-IJCNN 2010, Barcelona - Spain;
5.
IJCNN-2011, San Jose - USA;
6.
WCCI-IJCNN 2012, Brisbane - Australia;
7.
IJCNN-2013, Dallas - USA;
8.
WCCI-IJCNN 2014, Beijing - China;
9.
WCCI-IJCNN 2016, Vancouver - Canada;
10.
WCCI-IJCNN 2018, Rio De Janeiro - Brazil;
11.
WCCI-IJCNN 2020, Glasgow - UK;
12.
WCCI-IJCNN 2022, Padua - Italy;
13.
WCCI-IJCNN 2024, Yokohama - Japan
These special sessions attracted numerous submissions and had large
audiences. They featured many engaging presentations and very productive
discussions. Because of the recent advances in complex- and
hypercomplex-valued neural networks, we expect this special session to be
as exciting and fruitful as the past special sessions.
Organizers
-
Marcos Eduardo Valle, Universidade Estadual de Campinas (UNICAMP),
Brazil.
-
Sven Buchholz, Technische Hochschule Brandenburg, Germany.
-
Eckhard Hitzer, International Christian University, Japan.
-
Jo?o Paulo Papa, Universidade Estadual Paulista (UNESP), Brazil.
-
Akira Hirose, University of Tokyo, Japan.
Important Dates
-
Paper Submission: January 15, 2025
-
Notification of Acceptance: March 17, 2025
-
Final Paper Submission: May 01, 2025
-
IJCNN 2025, Rome, Italy. June 30 - July 05, 2025
Do not hesitate to contact me or the organizers if you have any questions.
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From hocine.cherifi at gmail.com Tue Dec 17 04:20:33 2024
From: hocine.cherifi at gmail.com (Hocine Cherifi)
Date: Tue, 17 Dec 2024 10:20:33 +0100
Subject: Connectionists: =?utf-8?q?Call_for_Papers_=26_Workshops_=7C_FRCCS?=
=?utf-8?q?_2025_=7C_May_21=E2=80=9323=2C_2025_=7C_Bordeaux=2C_Fran?=
=?utf-8?q?ce?=
Message-ID:
*? Call for Papers*
- *Formats*: Long Papers (12p), Short Papers (8p), Extended Abstracts
(3?4p)
- *Deadline*: February 21, 2025
? Submit here: https://cmt3.research.microsoft.com/FRCCS2025/
------------------------------
*?** Call for Workshops*
Propose *interactive workshops* (full or half-day).
- *Deadline*: January 12, 2024
? Submit here: https://cmt3.research.microsoft.com/FRCCS2025/
------------------------------
? *Full details*: https://iutdijon.u-bourgogne.fr/ccs-france/
Join us in advancing complexity science!
*FRCCS 2025 Organizing Committee*
Join us at COMPLEX NETWORKS 2024
*-------------------------*
Hocine CHERIFI
University of Burgundy Franche-Comt?
Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS
Editor in Chief Plos Complex Systems
Founding & Adisory Editor Applied Network Science
Editorial Board member PLOS One , IEEE
ACCESS ,
Scientific
Reports ,
Journal of Imaging , Quality and
Quantity , Computational Social
Networks ,
Complex Systems
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From phd2101241003 at iiti.ac.in Tue Dec 17 04:01:40 2024
From: phd2101241003 at iiti.ac.in (MD SAJID IITI)
Date: Tue, 17 Dec 2024 09:01:40 +0000
Subject: Connectionists: IEEE CIS Winter School on Computational
Intelligence and Generative AI | January 8-9, 2025 | IIT Indore, India
Message-ID:
Dear Connectionists,
We are delighted to invite you to the IEEE CIS Winter School on Computational Intelligence and Generative AI, organized by the IEEE Computational Intelligence Society (CIS) Chapter, MP Section. This two-day event will take place on January 8-9, 2025, at IIT Indore, India.
About the Event
The Winter School aims to foster knowledge sharing, skill development, and innovation in the rapidly evolving fields of Computational Intelligence and Generative AI. The program features keynote lectures by renowned experts, hands-on sessions, and networking opportunities for participants.
Event Highlights
*
Keynote Speakers:
* Prof. Sankar Kumar Pal (ISI Kolkata)
* Prof. Sushmita Mitra (ISI Kolkata)
* Prof. Asif Ekbal (IIT Jodhpur)
* Prof. Sriparna Saha (IIT Patna)
* Prof. Tanmoy Chakraborty (IIT Delhi)
(More speakers to be announced)
*
Keynote Talks
*
Hands-On Sessions/Interactive Forums
*
Participant Presentations to showcase research and innovation.
Registration Details
* Opens: December 1, 2024
* Closes: December 25, 2024
* Link: https://events.iiti.ac.in/ieeecis-wsci/main
Registration Fees:
*
Students: INR 1000 (IEEE/IITI) | INR 1500 (others)
*
Professionals: INR 2000 (IEEE/IITI) | INR 2500 (others)
Fee Includes: Registration kit, meals, certificate, event materials, and a presentation opportunity.
Accommodation: Limited free accommodations are available for up to 2 days.
Coordinator
Prof. M. Tanveer
* Founding Chair, IEEE CIS Chapter, MP Section
* Professor of Mathematics
* INSA Associate Fellow and SERB Ramanujan Fellow
* Indian Institute of Technology Indore, India
* Email: mtanveer at iiti.ac.in
* Page: https://www.iiti.ac.in/people/~mtanveer/
We look forward to your participation in this enriching event, which offers a platform for learning, innovation, and collaboration.
For any queries, please feel free to contact us.
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From el-ghazali.talbi at univ-lille.fr Tue Dec 17 06:46:35 2024
From: el-ghazali.talbi at univ-lille.fr (El-Ghazali Talbi)
Date: Tue, 17 Dec 2024 12:46:35 +0100
Subject: Connectionists: CFP ECCO'2025 Optimization @Marrakech
Message-ID: <2f114c59-a78d-4eeb-8d97-2eddbb906d25@univ-lille.fr>
*************************************************************************************
?????????????????????????????????? ECCO'2025
38th Conference of the European Chapter on Combinatorial Optimization
???????????????????????? 8-10 May 2025 Marrakech, Morocco
???????????????????????? https://ecco2025.sciencesconf.org
*************************************************************************************
The 38th Conference of the European Chapter on Combinatorial
Optimization will be held in Marrakech (Morocco) from 8 till 10 May 2025.
AIMS
The ECCO annual meetings aim to bring together researchers in
Combinatorial Optimization to present their work, share experiences, and
discuss recent advances in theory and applications.
CALL FOR ABSTRACTS
We invite all researchers, practitioners, and students interested in the
following subject areas to submit an abstract:
- Theory and applications of combinatorial optimization
- Optimal solution methods, approximation algorithms and metaheuristics
for combinatorial optimization problems
- Integer programming, global optimization, stochastic integer
programming, multi-objective programming, mixed optimization, graph
theory and network flows
- Application domains include, but are not limited to, logistics and
supply chain optimization, manufacturing, energy production and
distribution, land consolidation, telecommunications, bioinformatics,
finance, discrete tomography, discrete and hybrid dynamical systems.
IMPORTANT DATES
Deadline for abstract submission?????? 31 January 2025
Notification of acceptance???????????? 26 February 2025
Deadline for early registration??????? 21 March 2025
ABSTRACT SUBMISSION
Abstracts must be written in English and contain no more than 1,500
characters in plain text format (no formulas are allowed).
Please note that the submission MUST be done by the person who will
present the paper.
For each submitted paper, ONE unique registration must be submitted
(e.g., for two submitted papers, two separate registrations must be
submitted).
SOCIAL EVENTS
Conference Dinner: Friday 9 May at Chez Ali
PUBLICATIONS
Book of Abstracts
Special Issue: A special issue of the Journal of Combinatorial
Optimization will be devoted in papers presented in the conference. All
articles will be refereed according to the high standards of the
journal. Details of the process will be given during the conference.
COMMITTEES
Conference chair
??? El-Ghazali Talbi (chair), University of Lille, France
Program committee
??? Jacek Blazewicz, Pozna? University of Technology, Poland
??? Bo Chen, University of Warwick, UK
??? Van-Dat Cung, Universit? Grenoble Alpes, France
??? Alain Hertz, Polytechnique Montr?al, Canada
??? Silvano Martello, Universit? di Bologna, Italy
??? Greet Vanden Berghe, KU Leuven, Belgium
??? El-Ghazali Talbi (chair), University of Lille and INRIA, France
??? Paolo Toth, Universit? di Bologna, Italy
Organizing committee
??? El-Ghazali Talbi (chair), University of Lille
??? Amir Nakib (co-chair), University of Paris Est
CONTACT
Prof. El-ghazali Talbi
email: ecco2025 at sciencesconf.org
--
***********************************************************************
OLA'2025
International Conference on Optimization and Learning (SCOPUS, Springer)
April 23-25, 2025, Dubai, https://ola2025.sciencesconf.org
***********************************************************************
**********************************************************************
ECCO'2025
EURO Conference on the European Chapter of Combinatorial Optimization
May 8-10, 2025, Marrakech, Morocco, http://ecco2025.sciencesconf.org
***********************************************************************
Prof. El-ghazali TALBI
Polytech'Lille, University Lille - INRIA
CRISTAL - CNRS
From dhansel0 at gmail.com Tue Dec 17 12:51:21 2024
From: dhansel0 at gmail.com (David Hansel)
Date: Tue, 17 Dec 2024 19:51:21 +0200
Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday,
December 18, 2024, at 11:00 am EST| Claire Meissner-Bernard,
Friedrich Miescher Institut for biomedical research, Basel
In-Reply-To:
References: