Stéphane d’Ascoli

ConViT: improving vision transformers with soft convolutional inductive biases*

Stéphane d’Ascoli, Hugo Touvron, Matthew L. Leavitt et al. · Journal of Statistical Mechanics Theory and Experiment · 2022 · 691 citations · Full text

Convolutional Neural Network, Machine Vision, Machine Learning +12

Scaling description of generalization with number of parameters in deep learning

Mario Geiger, Arthur Paul Jacot, Stefano Spigler et al. · Journal of Statistical Mechanics Theory and Experiment · 2020 · 169 citations · Full text

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Mario Geiger, Stefano Spigler, Stéphane d’Ascoli et al. · Physical review. E · 2019 · 122 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +16

Electromagnetic Emission from Supermassive Binary Black Holes Approaching Merger

Stéphane d’Ascoli, Scott C. Noble, Dennis Bowen et al. · The Astrophysical Journal · 2018 · 96 citations · Full text

Ray-tracing Code, Black Hole Dynamic, Relativistic Astrophysics +13

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

Stéphane d’Ascoli, Hugo Touvron, Matthew L. Leavitt et al. · arXiv (Cornell University) · 2021 · 57 citations · Full text