Vighnesh Subramaniam

According to our database, Vighnesh Subramaniam authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains.

Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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 Intracranial Activity.

Geeling Chau, Christopher Wang, Sabera Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu

CoRR, 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, Andrei Barbu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Revealing Vision-Language Integration in the Brain with Multimodal Networks.

Vighnesh Subramaniam, Colin Conwell, Christopher Wang, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

BrainBERT: Self-supervised representation learning for intracranial recordings.

Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

Proceedings of the Eleventh International Conference on Learning Representations, 2023