BrainBERT: Self-supervised representation learning for intracranial recordings. - Christopher Wang; Vighnesh Subramaniam; Adam Uri Yaari; Gabriel Kreiman; Boris Katz; Ignacio Cases; Andrei Barbu (ICLR, 2023)

Revealing Vision-Language Integration in the Brain with Multimodal Networks. - Vighnesh Subramaniam; Colin Conwell; Christopher Wang; Gabriel Kreiman; Boris Katz; Ignacio Cases; Andrei Barbu (ICML, 2024)

Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli. - Christopher Wang; Adam Uri Yaari; Aaditya Singh; Vighnesh Subramaniam; Dana Rosenfarb; Jan DeWitt; Pranav Misra; Joseph R. Madsen; Scellig S. Stone; Gabriel Kreiman; Boris Katz; Ignacio Cases; et al. (NeurIPS, 2024)

Population Transformer: Learning Population-level Representations of Intracranial Activity. - Geeling Chau; Christopher Wang; Sabera Talukder; Vighnesh Subramaniam; Saraswati Soedarmadji; Yisong Yue; Boris Katz; Andrei Barbu (CoRR, 2024)

Training the Untrainable: Introducing Inductive Bias via Representational Alignment. - Vighnesh Subramaniam; David Mayo; Colin Conwell; Tomaso A. Poggio; Boris Katz; Brian Cheung; Andrei Barbu (CoRR, 2024)

Population Transformer: Learning Population-level Representations of Neural Activity. - Geeling Chau; Christopher Wang; Sabera J. Talukder; Vighnesh Subramaniam; Saraswati Soedarmadji; Yisong Yue; Boris Katz; Andrei Barbu (ICLR, 2025)

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. - Vighnesh Subramaniam; Yilun Du; Joshua B. Tenenbaum; Antonio Torralba 001; Shuang Li 013; Igor Mordatch (ICLR, 2025)