How AI Reshapes Inverse Problems in Imaging
Pierre WEISS
PhD, CNRS Researcher, CBI – CNRS
March 14th, 2024
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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