Antoine Ratouchniak

Hello! I am Antoine, an Applied Scientist at Amazon working on machine learning and representation learning for job recommendations. I graduated with a master's degree in mathematics and artificial intelligence from ENS Paris-Saclay.

I previously completed a research internship at Meta Meta Logo in the Brain & AI team, supervised by Hubert J. Banville and Jean-Rémi King. Before that, I was a visiting researcher at New York University, specifically at NYU Video Lab under the supervision of Yao Wang and Adeen Flinker, where I remain a visiting researcher.

My research interests include representation learning, geometric deep learning, self-supervised learning, multimodal models, and applications of machine learning to neuroscience.

Publications

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models

H. Banville, S. d’Ascoli, S. Dahan, J. Rapin, M. Careil, Y. Benchetrit, J. Lévy, S. Panchavati, A. Ratouchniak, M. Zhang, E. Cascardi, K. Begany, T. Brooks, J.-R. King, 2026. [arXiv]

NeuralSet: A High-Performing Python Package for Neuro-AI

J.-R. King, C. Bel, L. Evanson, J. Gadonneix, S. Houhamdi, J. Lévy, J. Raugel, A. Santos Revilla, M. Zhang, J. Bonnaire, C. Caucheteux, A. Défossez, T. Desbordes, P. Diego-Simón, S. Khanna, J. Millet, P. Orhan, S. Panchavati, A. Ratouchniak, A. Thual, T. L. Brooks, K. Begany, Y. Benchetrit, M. Careil, H. Banville, S. d’Ascoli, S. Dahan, J. Rapin, 2026. [arXiv]

Prediction of Stimulation-Defined Eloquent Cortex Using Graph-Theoretical Connectivity from Electrocorticography During Presurgical Mapping

N. Emami, A. Michalak, A. Khalilian-Gourtani, A. Ratouchniak, C. Le, X. Chen, O. Devinsky, W. K. Doyle, P. Dugan, D. Friedman, Y. Wang, A. Flinker, 2026. [bioRxiv]

Machine Learning-Based Prediction of Speech Arrest During Direct Cortical Stimulation Mapping

N. Emami, A. Khalilian-Gourtani, J. Qian, A. Ratouchniak, X. Chen, Y. Wang, A. Flinker, IEEE International Conference on Neural Engineering, 2025. [arXiv]

Academic Service

Reviewer — AAAI 2027