| Look at the variance! efficient black-box explanations with sobol-based sensitivity analysis T Fel, R Cadène, M Chalvidal, M Cord, D Vigouroux, T Serre Advances in neural information processing systems 34, 26005-26014, 2021 | 69 | 2021 |
| Xplique: A deep learning explainability toolbox T Fel, L Hervier, D Vigouroux, A Poche, J Plakoo, R Cadene, M Chalvidal, ... arXiv preprint arXiv:2206.04394, 2022 | 34 | 2022 |
| A holistic approach to unifying automatic concept extraction and concept importance estimation T Fel, V Boutin, L Béthune, R Cadène, M Moayeri, L Andéol, M Chalvidal, ... Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
| FAMOUS: a fast instrumental and computational pipeline for multiphoton microscopy applied to 3D imaging of muscle ultrastructure C Lefort, M Chalvidal, A Parenté, V Blanquet, H Massias, L Magnol, ... Journal of Physics D: Applied Physics 54 (27), 274005, 2021 | 20 | 2021 |
| Go with the flow: Adaptive control for neural ODEs M Chalvidal, M Ricci, R VanRullen, T Serre arXiv preprint arXiv:2006.09545, 2020 | 16* | 2020 |
| Block distributed 3MG algorithm and its application to 3D image restoration M Chalvidal, E Chouzenoux 2020 IEEE International Conference on Image Processing (ICIP), 938-942, 2020 | 9* | 2020 |
| KuraNet: systems of coupled oscillators that learn to synchronize M Ricci, M Jung, Y Zhang, M Chalvidal, A Soni, T Serre arXiv preprint arXiv:2105.02838, 2021 | 8 | 2021 |
| Block delayed Majorize-Minimize subspace algorithm for large scale image restoration M Chalvidal, E Chouzenoux, JB Fest, C Lefort Inverse Problems 39 (4), 044002, 2023 | 6 | 2023 |
| Meta-reinforcement learning with self-modifying networks M Chalvidal, T Serre, R VanRullen Advances in Neural Information Processing Systems 35, 7838-7851, 2022 | 4 | 2022 |
| Learning functional transduction M Chalvidal, T Serre, R VanRullen Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Learning higher-order functions for computation, memorization and control with artificial neural networks M Chalvidal Université Paul Sabatier-Toulouse III, 2023 | | 2023 |
| Axial organization of muscular myosin identified by the optical and computational pipeline FAMOUS C Lefort, M Chalvidal, F Baraige, A Parente, E Ferrandon, V Blanquet, ... Unconventional Optical Imaging III 12136, 1213602, 2022 | | 2022 |
| Imagerie 3D par microscopie multiphotonique appliquée aux sciences du vivant: la chaine instrumentale et computationnelle FAMOUS C LEFORT, M Chalvidal, A Parenté, V BLANQUET, H Massias, ... Les journées de l'interdisciplinarité, 2022 | | 2022 |
| FAMOUS pipeline: multiphoton microscopy and computational strategy for 3D imaging of biomedical sample C Lefort, M Chalvidal, A Parenté, V Blanquet, H Massias, L Magnol, ... PSB Symposium" Frontiers in Bioimaging", 2021 | | 2021 |
| Deep-3D-multiphoton imaging of whole biological structures with a computational assistance and the pipeline FAMOUS C Lefort, M Chalvidal, A Parente, V Blanquet, H Massias, L Magnol, ... Physics and Biological Systems 2021, 2021 | | 2021 |
| Accurate implementation of computational neuroscience models through neural ODEs S Muzellec, M Chalvidal, T Serre, R VanRullen | | |
| Thomas Fel1, 3, 4 Lucas Hervier2 David Vigouroux2 Antonin Poche2 Justin Plakoo2 Remi Cadene3 Mathieu Chalvidal1, 3 Julien Colin1, 3 Thibaut Boissin1, 2 Louis Bethune1 Agustin … D Vigouroux, A Poche, J Plakoo, R Cadene, M Chalvidal, J Colin, ... | | |