Vighnesh Subramaniam

5 papers · 2023–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2)

Venues

ICLR (3) ICML (1) NeurIPS (1)

Top co-authors

Christopher Wang (4) Boris Katz (4) Andrei Barbu (4) Ignacio Cases (3) Gabriel Kreiman (3) Igor Mordatch (1) Jan DeWitt (1) Yisong Yue (1) Dana Rosenfarb (1) Scellig Stone (1)

Research topics

Machine Learning (3) Learning Types (3) Artificial Intelligence (2) Deep Learning (2) Architectures (2) Core AI (2) Core Methods (2) Interdisciplinary (1) Natural Language Processing (1) Cognitive Science (1) Linguistics (1) Resources & Methods (1)

Keywords

intracranial recording (2) representation learning (1) contrastive learning (1) self-supervised learning (1) universal dependencies (1) neural response (1) synthetic data (1) cross attention (1) reasoning chain (1) vision-language integration (1) language processing (1) multi-channel data (1) temporal embedding (1) large language model (1) multimodal network (1) neural time series (1) naturalistic language (1) population-level representation (1) self-supervised framework (1) multiagent finetuning (1)

Papers

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains ICLR 2025 Population Transformer: Learning Population-level Representations of Neural Activity ICLR 2025 Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli NeurIPS 2024 Revealing Vision-Language Integration in the Brain with Multimodal Networks ICML 2024 BrainBERT: Self-supervised representation learning for intracranial recordings ICLR 2023