Connectionists: First Inria-DFKI European Summer School on AI: registration open
Emmanuel Vincent
emmanuel.vincent at inria.fr
Thu Mar 18 02:38:28 EDT 2021
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*First Inria-DFKI European Summer School on AI (IDAI 2021)***
* Trustworthy AI* and *AI for Medicine*
* Palaiseau, France*
* July 20-23, 2021*
*https://idessai.inria.fr/*
* Registration deadline: April 19, 2021*
*******************************************************************
IDAI 2021 inaugurates a series of yearly Summer Schools organized by the
two renowned German and French AI institutes, DFKI and Inria. It stands
out from the crowd of offerings for AI students in several respects:
* We ensure a good balance in the number of participants and
instructors: participants will have the opportunity to join a
community of like-minded people and, at the same time, they will be
in close contact with the experts.
* Our program features a line-up of courses focused on two themes,
Trustworthy AI and AI for Medicine, which are at the forefront of
socio-economic issues related to AI.
* On top of the latest methodological advances and the shared vision
of the future that both organizing institutes have to offer, IDAI
2021 will be practically oriented. We will achieve this through
hands-on courses and the involvement of industry practitioners and
innovators.
* Participants will be offered to the opportunity to present their
work to each other in dedicated poster/demo sessions.
Trustworthy AI and AI for Medicine will take place in two parallel
tracks. There will be plenty of opportunities to exchange between these
two tracks at coffee breaks, meals and social events, as well as through
joint cross-track sessions.
*TARGETED AUDIENCE*
IDAI 2021 was designed for PhD students in all areas of AI, including
machine learning, knowledge representation and reasoning, search and
optimisation, planning and scheduling, multi-agent systems, natural
language processing, robotics, computer vision, and other areas. PhD
students in other fields, MSc students, postdocs, and researchers in
industry are also welcome.
*VENUE*
IDAI 2021 is currently planned as a fully in-person event, which will
take place at the Inria Saclay Île-de-France research center, close to
Paris. Remote attendance will not be possible.
In case the pandemic will still not allow for an in-person event, IDAI
2021 will take place as a fully virtual event at the same dates instead.
We are closely monitoring the situation and will strive to make this
decision as early as possible.
*CONFIRMED KEYNOTES AND SPEAKERS***
Cross-track keynotes:
**
* Mihaela van der Schaar (University of Cambridge) - Why medicine is
creating exciting new frontiers for machine learning and AI
* Joanna Bryson (Hertie School) - AI ethics
Trustworthy AI track (to be completed):
* Serge Abiteboul (Inria) - Responsible data analysis algorithms: a
realistic goal?
* Simon Burton (Fraunhofer IKS) - Safety, complexity, AI and automated
driving - holistic perspectives on safety assurance
* Michèle Sebag (CNRS - LISN) - Why and how learning causal models
* Patrick Gallinari (Sorbonne University and Criteo AI Lab) - Deep
learning meets numerical modeling
* Christian Müller (DFKI) - Explaining AI with narratives
* Catuscia Palamidessi (Inria) and Miguel Couceiro (University of
Lorraine) - Addressing algorithmic fairness through metrics and
explanations
* Guillaume Charpiat (Inria), Zakaria Chihani (CEA), and Julien
Girard-Satabin (CEA) - Formal verification of deep neural networks:
theory and practice
* Hatem Hajri (IRT SystemX) - Adversarial examples and robustness of
neural networks
AI for Medicine track (to be completed):
* Gerd Reis (DFKI) - AI in Medicine - An engineering perspective
* Marco Lorenzi (Inria) - Federated learning methods and frameworks
for collaborative data analysis
* Gaël Varoquaux (Inria) - Dirty data science: machine learning on
non-curated data
* Thomas Moreau and Demian Wassermann (Inria) - Introduction to
neuroimaging with Python
* Francesca Galassi (Inria) and Rutger Fick (TRIBVN Healthcare) -
Domain adaptation for the segmentation of multiple sclerosis lesions
in brain MRI.
* Tim Dahmen (DFKI) - Bio-mechanical simulation for individualized
implants and prosthetics
* Elmar Nöth (Friedrich-Alexander-University Erlangen-Nuremberg) -
Automatic analysis of pathologic speech – from diagnosis to therapy
* Pierre Zweigenbaum (CNRS - LIMSI) - NLP for medical applications
Open discussion with industry (to be completed):
* Juliette Mattioli (Thales) and Frédéric Jurie (Safran) - Industry
use cases involving trusted AI
* Boris Dimitrov (Check Point Cardio) - Real-time online patient
tele-monitoring
*
**FEES AND REGISTRATION*
Our fees are all-inclusive and may optionally include accomodation.
For more details and to register, see
https://idessai.inria.fr/registration/ (deadline: April 19).
To ensure a good balance in the number of participants and instructors
and maximize the chances of interaction, the number of attendees is
limited to 50 per track. Applicants will be selected on the grounds of
diversity and benefit gained from attending the selected track.
*ORGANIZERS*
Co-organized by: Inria, DFKI, Dataia, IRT SystemX
Contact us: idessai-contact at inria.fr.
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