Connectionists: NeSy 2025 Call for Industry Abstracts

[Pascal Hitzler]

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We invite companies to submit abstracts of industrial research or 
applications 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. Authors of accepted 
industry abstracts will be invited to present their work (as poster or 
orally) at the conference, which is an in-person event.


Website:https://2025.nesyconf.org <https://2025.nesyconf.org/>

Correspondence: organisers at nesyconf.org


===== Relevant Dates =====

Industry abstract deadline: June 15, 2025

Author notifications: July 3, 2025


All deadlines are 11:59 PM, AoE. Please useOpenReview 
<https://openreview.net/group?id=nesyconf.org/NeSy/2025/Conference>for 
submissions.


===== Subject Areas =====

The NeSy conference invites industry abstracts related to all aspects of 
the integration of neural networks and symbolic AI, including industrial 
research, research-in-progress, systems, or applications.


Topics of interest include, but are not limited to

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    Neurosymbolic Generative Models;

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    Knowledge Graphs, Ontologies and Neurosymbolic AI;

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    Neurosymbolic Methods for Trustworthy and Interpretable AI

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    Informed Machine Learning;

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    Addressing knowledge representation and reasoning tasks using neural
    networks;

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    Code generation and knowledge engineering with neural networks,
    including with LLMs;

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    Studying and improving LLM reasoning with Neurosymbolic methods;

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    Neurosymbolic cognitive modelling;

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    Languages for Neurosymbolic AI, including differentiable and
    probabilistic programming languages;

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    Embedding methods for structured information;

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    Circuits and knowledge compilation for Neurosymbolic AI;

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    Specification and verification of machine/deep learning systems;

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    Neurosymbolic methods for reinforcement learning, causality,
    structure learning, transfer, meta, multitask and continual
    learning, relational learning, graph neural networks;

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    Applications of Neurosymbolic AI, including in education, law,
    simulation, finance, healthcare, robotics, software engineering,
    systems engineering, bioinformatics, and visual intelligence;


===== Submission guidelines =====

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    All submissions should be made before the deadline onour OpenReview
    page
    <https://openreview.net/group?id=nesyconf.org/NeSy/2025/Conference>.

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    Please use the Latex templateavailable atthis link
    <https://drive.google.com/drive/folders/1_SmJI3rx548k6KkTPP5QLZoJ8lois26D?usp=sharing>.

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    Industry abstractsshould provide an overview of the industrial
    effort related to neurosymbolic AI and should not exceed 2 pages.

The conference will be held in-person, and authors of accepted abstracts 
are required to attend the conference physically to present their work. 
Please note that the deadline and notification is rather close to the 
conference to allow for late-breaking contributions — authors from 
outside the US need to make sure that they have enough time to obtain US 
visas.

After notification, reviews of accepted abstracts will be posted online 
onOpenReview 
<https://openreview.net/group?id=nesyconf.org/NeSy/2025/Conference>along 
with the originally submitted version of the abstract. Reviewers remain 
anonymous unless they opt in to them being named.

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)


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)

+ Vaishak Belle (University of Edinburgh)


Knowledge Graphs, Ontologies and Neurosymbolic AI Special Track Chairs:

+ Cogan Shimizu (Wright State University)

+ Claudia d'Amato (University of Bari)



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-- 
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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