Stéphane d'Ascoli
RESEARCH ASSISTANT | PARIS, FRANCE
Stéphane is a resident Ph.D. student at Facebook AI Research Paris. He earned a M.Sc and a B.Sc in Theoretical Physics at Ecole Normale Supérieure. His research interests include computer vision, deep learning theory and biologically plausible deep learning.
Stéphane's Work
Stéphane's Publications
May 06, 2026
HUMAN & MACHINE INTELLIGENCE
RESEARCH
NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
Saarang Panchavati, Antoine Ratouchniak, Mingfang (Lucy) Zhang, Elisa Cascardi, Hubert Banville, Jarod Levy, Jean-Rémi King, Jérémy Rapin, Katelyn Begany, Marlene Careil, Simon Dahan, Stéphane d'Ascoli, Teon Brooks, Yohann Benchetrit
May 06, 2026
March 26, 2026
HUMAN & MACHINE INTELLIGENCE
A foundation model of vision, audition, and language for in-silico neuroscience
Hubert Jacob Banville, Jean Remi King, Josephine Raugel, Jérémy Rapin, Katelyn Begany, Stéphane d'Ascoli, Teon Brooks, Yohann Benchetrit
March 26, 2026
February 06, 2025
RESEARCH
NLP
Brain-to-Text Decoding: A Non-invasive Approach via Typing
Mingfang (Lucy) Zhang, Svetlana Pinet, Hubert Jacob Banville, Jarod Levy, Jean Remi King, Jérémy Rapin, Stéphane d'Ascoli
February 06, 2025
February 06, 2025
RESEARCH
NLP
From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
Mingfang (Lucy) Zhang, F.-Xavier Alario, Pierre Bourdillon, Svetlana Pinet, Jarod Levy, Jean Remi King, Jérémy Rapin, Stéphane d'Ascoli
February 06, 2025
October 10, 2022
ML APPLICATIONS
End-to-end symbolic regression with transformers
Pierre-Alexandre Kamienny, François Charton, Guillaume Lample, Stéphane d'Ascoli
October 10, 2022
June 28, 2022
Deep Symbolic Regression for Recurrent Sequences
François Charton, Guillaume Lample, Pierre-Alexandre Kamienny, Stéphane d'Ascoli
June 28, 2022
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