Mathieu Chalvidal

According to our database, Mathieu Chalvidal authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning higher-order functions for computation, memorization and control with artificial neural networks. (Apprentissage de fonctions d'ordre supérieur pour le calcul, la mémorisation et le contrôle par réseaux de neurones artificiels).

Mathieu Chalvidal

PhD thesis, 2023

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation.

Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Functional Transduction.

Mathieu Chalvidal, Thomas Serre, Rufin VanRullen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Xplique: A Deep Learning Explainability Toolbox.

Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Martin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre

CoRR, 2022

A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning.

Mathieu Chalvidal, Thomas Serre, Rufin VanRullen

CoRR, 2022

Meta-Reinforcement Learning with Self-Modifying Networks.

Mathieu Chalvidal, Thomas Serre, Rufin VanRullen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize.

Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre

CoRR, 2021

Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis.

Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Go with the flow: Adaptive control for Neural ODEs.

Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Neural Optimal Control for Representation Learning.

Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre

CoRR, 2020

Block Distributed Majorize-Minimize Memory Gradient Algorithm and its application to 3D image restoration.

Mathieu Chalvidal, Emilie Chouzenoux

CoRR, 2020

Block Distributed 3MG Algorithm and its Application to 3D Image Restoration.

Mathieu Chalvidal, Emilie Chouzenoux

Proceedings of the IEEE International Conference on Image Processing, 2020