دنبال کردن
Christopher Wang
Christopher Wang
ایمیل تأیید شده در mit.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
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
6542019
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
402021
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
352023
Revealing Vision-Language Integration in the Brain with Multimodal Networks
V Subramaniam, C Conwell, C Wang, G Kreiman, B Katz, I Cases, ...
International Conference on Machine Learning, 2024
62024
Population Transformer: Learning population-level representations of neural activity
G Chau, C Wang, S Talukder, V Subramaniam, S Soedarmadji, Y Yue, ...
ArXiv, arXiv: 2406.03044 v2, 2024
32024
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
C Wang, AU Yaari, AK Singh, V Subramaniam, D Rosenfarb, J DeWitt, ...
Advances in Neural Information Processing Systems, 2024
12024
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
D Mayo, C Wang, A Harbin, A Alabdulkareem, AE Shaw, B Katz, A Barbu
Advances in Neural Information Processing Systems, 2024
2024
Workshop Submission: Using Multimodal DNNs to Study Vision-Language Integration in the Brain
V Subramaniam, C Conwell, C Wang, G Kreiman, B Katz, I Cases, ...
ICLR 2023 Workshop on Multimodal Representation Learning: Perks and Pitfalls, 2023
2023
Weakly supervised semantic parsing for Linear Temporal Logic
CZ Wang
Massachusetts Institute of Technology, 2020
2020
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–9