AI Tasting Seminars

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How AI Reshapes Inverse Problems in Imaging

Pierre WEISS PhD, CNRS Researcher, CBI – CNRS March 14th, 2024

Computational Protein Design with Automated Reasoning and Deep Learning

Marianne DEFRESNE PhD, AI Scientist at Torus AI February 8th,

A Brain-Inspired Reinforcement Learning Mechanism for Pattern Recognition

Milad MOZAFARI PhD, Research Scientist at Torus AI November 23rd,

Main Challenges for Machine Learning in Critical Systems

Grégory FLANDIN PhD, Program Director at IRT Saint Exupéry November

Statistical Modeling and Analysis of Radio-Induced Adverse Effects Based on In Vitro Data

Polina ARSENTEVA PhD Student, Université de Bourgogne October 26th, 2023,

Machine Learning in Satellite Imagery

Valentina DISARLO PhD, Postdoct at Universitaet Heidelberg September 28th, 2023,

Gradient Strikes Back: How Filtering Out High Frequencies Improves Explanations

Sabine MUZELLEC PhD Student, CerCo – CNRS, Toulouse September 14th, 2023,

Advancing Antibiotic Resistance Classification with Deep Learning Using Protein Sequence and Structure

Aymen QABEL LIX, École Polytechnique, Palaiseau, France April 6th, 2023

Equivariant Neural Networks Based on Moving Frames

Mateus SANGALLI Postdoc, ARMINES, Paris, France March 23rd, 2023 Abstract

Spiking Neural Networks

Timothée MASQUELIER CNRS Researcher (DR2), Cerco (CNRS) February 23rd, 2023