Roger Baker Grosse

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Mutual Information

Theorem Proving

Latent Structure

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Johannes Treutlein, Dami Choi, Jan Betley, Cem Anil, Samuel Marks, Roger Baker Grosse, Owain Evans
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data. CoRR (2024)
Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse
REFACTOR: Learning to Extract Theorems from Proofs. ICLR (2024)
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse
Efficient Parametric Approximations of Neural Network Function Space Distance. ICML (2023)
Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Baker Grosse
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve. ICLR (2023)
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. ICLR (2022)
Stephen Zhao, Chris Lu, Roger Baker Grosse, Jakob Nicolaus Foerster
Proximal Learning With Opponent-Learning Awareness. CoRR (2022)
Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu
When does preconditioning help or hurt generalization? ICLR (2021)
Yuhuai Wu, Albert Jiang, Jimmy Ba, Roger Baker Grosse
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving. ICLR (2021)
Chaoqi Wang, Guodong Zhang, Roger Baker Grosse
Picking Winning Tickets Before Training by Preserving Gradient Flow. CoRR (2020)