22 Mar
2024
22 Mar
'24
4:18 p.m.
Bonjour,
Suite aux réponses du framadate, le prochain ce séminaire au lieu jeudi 28 mars 10h-11h.
J'envoie de suite l'invitation teams correspondante.
Bonne fin de semaine, Bon weekend
Idir
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Idir Benouaret
Enseignant-Chercheur
[https://lh6.googleusercontent.com/dCYVl9pmYNgg1wBndkYtELRR9DX8RRY5d_e4N2Xhk…]
[https://lh4.googleusercontent.com/O8lm18dZZ188g_iBNOmO2UX8qPx8zNmCfFbItUDzk…]
[https://lh4.googleusercontent.com/iJejRKKnVTGA2lyz-eMOKQvI9vVP-ftzUIqzCoeoR…]
[https://lh6.googleusercontent.com/J3eMugeLIjhhZigE4aw44kR3o5SCCOf3J7YJfPDTC…]
[https://lh3.googleusercontent.com/2nPXgKhjFiG8S9uTa2TTXP1-CcUjZnjdJ5CVAd3_f…]
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+33 4 28 29 37 63
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________________________________
De : Idir Benouaret
Envoyé : mardi 19 mars 2024 10:52
À : current(a)ml.lre.epita.fr <current(a)ml.lre.epita.fr>
Cc : Alessio Ragno <ragno(a)diag.uniroma1.it>it>; Nicolas Boutry
<nicolas.boutry(a)epita.fr>
Objet : Séminaire d'Alessio Ragno [Axe ML]
Bonjour à tous,
Je vous annonce que le prochain séminaire de l'axe ML sera donné par Alessio Ragno
(https://alessio.ragno.info/), doctorant en visite à Epita (Lyon)
Ci-dessous, le titre et l'abstract du talk.
Merci de bien vouloir remplir le framadate suivant :
https://framadate.org/SL6e6uySXrMDrSv6
Au plus tard le vendredi 22 mars, afin de fixer rapidement un créneau pour la semaine
prochaine
Bonne fin de journée,
----------------------------------------------------------------------------------------------------------------------------------------
Title: Topology-based Explanations for Neural Networks
Abstract:
The seminar will be a summary of the research activities conducted on the topic of
Explainable AI. The first part of the talk will be about the development of
Self-Explainable Graph Neural Networks. Successively, the discussion will shift towards
providing logic explanations for neural networks' predictions. Finally, different
applications will be presented, spanning NLP, Drug Discovery and Reinforcement Learning.
BIO:
Alessio Ragno is a Ph.D. student in Artificial Intelligence at Sapienza University of
Rome, supervised by Professor Roberto Capobianco. With a passion for applying AI to
various scientific realms, Alessio focuses on Explainable AI (XAI) to enhance
understanding and usability.
His research involves creating topology-based XAI methods tailored to specific AI models,
aiming to make neural network predictions more interpretable. Prior to his Ph.D., Alessio
earned Master's and Bachelor's degrees in AI & Robotics and Computer and
Control Engineering, respectively.
Alessio gained practical experience in AI's application to chemistry and drug
discovery during his time at the University of North Carolina and collaborations with
Sapienza University of Rome's Pharmaceutical Chemistry and Technology Department. His
dedication lies in making AI more accessible and transparent for meaningful scientific
advancements.
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Idir Benouaret
Enseignant-Chercheur
[https://lh6.googleusercontent.com/dCYVl9pmYNgg1wBndkYtELRR9DX8RRY5d_e4N2Xhk…]
[https://lh4.googleusercontent.com/O8lm18dZZ188g_iBNOmO2UX8qPx8zNmCfFbItUDzk…]
[https://lh4.googleusercontent.com/iJejRKKnVTGA2lyz-eMOKQvI9vVP-ftzUIqzCoeoR…]
[https://lh6.googleusercontent.com/J3eMugeLIjhhZigE4aw44kR3o5SCCOf3J7YJfPDTC…]
[https://lh3.googleusercontent.com/2nPXgKhjFiG8S9uTa2TTXP1-CcUjZnjdJ5CVAd3_f…]
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+33 4 28 29 37 63
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