
Deep learning algorithms, natural language processing, and the brain, with Jean-Rémi King
Failed to add items
Add to Cart failed.
Add to Wish List failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
By:
About this listen
In the episode, I talk with Jean-Rémi King, Research scientist and team leader at Meta AI, and Associate Researcher at CNRS, École Normale Supérieure, about three recent papers from his lab on deep learning algorithms, natural language processing, and the brain.
King website
Millet J, Caucheteux C, Orhan P, Boubenec Y, Gramfort A, Dunbar E, Pallier C, King J-R. Toward a realistic model of speech processing in the brain with self-supervised learning. In Advances in Neural Information Processing Systems (NeurIPS) 2022. [doi]
Caucheteux C, King JR. Brains and algorithms partially converge in natural language processing. Commun Biol. 2022;5:134. [doi]
Caucheteux C, Gramfort A, King JR. Evidence of a predictive coding hierarchy in the human brain listening to speech. Nat Hum Behav. 2023;7:430-41. [doi]