Christopher Wang

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Andrei BarbuMIT, CSAILVerified email at 0xab.com
Boris KatzMIT CSAIL, CBMMVerified email at mit.edu
David MayoMIT, Google BrainVerified email at google.com
Joshua B. TenenbaumMITVerified email at mit.edu
Vighnesh SubramaniamMIT, CSAILVerified email at mit.edu
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalVerified email at tch.harvard.edu
Ignacio CasesPostdoc at CSAIL, MITVerified email at stanford.edu
Candace RossResearch Scientist, Meta AIVerified email at meta.com
Yen-Ling KuoUniversity of VirginiaVerified email at virginia.edu
Colin ConwellHarvard UniversityVerified email at g.harvard.edu
Geeling ChauPhD Student, California Institute of TechnologyVerified email at caltech.edu

Christopher Wang

Verified email at mit.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models A Barbu, D Mayo, J Alverio, W Luo, C Wang, D Gutfreund, J Tenenbaum, ... Advances in neural information processing systems 32, 2019	589	2019
Learning a natural-language to LTL executable semantic parser for grounded robotics C Wang, C Ross, YL Kuo, B Katz, A Barbu Conference on Robot Learning, 1706-1718, 2021	37	2021
BrainBERT: Self-supervised representation learning for intracranial recordings C Wang, V Subramaniam, AU Yaari, G Kreiman, B Katz, I Cases, A Barbu International Conference on Learning Representations, 2023	19	2023
Revealing Vision-Language Integration in the Brain with Multimodal Networks V Subramaniam, C Conwell, C Wang, G Kreiman, B Katz, I Cases, ... arXiv preprint arXiv:2406.14481, 2024	3	2024
Population Transformer: Learning Population-level Representations of Intracranial Activity G Chau, C Wang, S Talukder, V Subramaniam, S Soedarmadji, Y Yue, ... ArXiv, 2024		2024
Weakly supervised semantic parsing for Linear Temporal Logic CZ Wang Massachusetts Institute of Technology, 2020		2020

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