[Mnshs.docs.paris] [Docs.paris] [Docs] [Doctorants] [Current] 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. [Une image contenant texte, clipart, signe Description générée automatiquement] 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…] [Une image contenant texte, clipart Description générée automatiquement] +33 4 28 29 37 63 [https://lh6.googleusercontent.com/hGLtorzP2LwpWN7a7qPxHUf-Ufq7UmoJXpduyzZWG…] ______________________ Current mailing list -- current(a)ml.lre.epita.fr https://lists.lrde.epita.fr/postorius/lists/current.ml.lre.epita.fr// ______________________ Doctorants mailing list -- doctorants(a)ml.lre.epita.fr https://lists.lrde.epita.fr/postorius/lists/doctorants.ml.lre.epita.fr// ______________________ Docs mailing list -- docs(a)ml.lre.epita.fr https://lists.lrde.epita.fr/postorius/lists/docs.ml.lre.epita.fr// ______________________ Docs.paris mailing list -- docs.paris(a)ml.lre.epita.fr https://lists.lrde.epita.fr/postorius/lists/docs.paris.ml.lre.epita.fr//