Roger Baker Grosse

12 papers A* 8Journal 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data.
CoRR
Johannes Treutlein, Dami Choi, Jan Betley, Cem Anil, Samuel Marks, Roger Baker Grosse, Owain Evans
2024 A* conf
Measuring Stochastic Data Complexity with Boltzmann Influence Functions.
ICML
Nathan H. Ng, Roger Baker Grosse, Marzyeh Ghassemi
2024 A* conf
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo.
ICML
Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Baker Grosse
2024 A* conf
REFACTOR: Learning to Extract Theorems from Proofs.
ICLR
Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse
2023 A* conf
Efficient Parametric Approximations of Neural Network Function Space Distance.
ICML
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse
2023 A* conf
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve.
ICLR
Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Baker Grosse
2022 A* conf
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds.
ICLR
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani
2022 J jnl
Proximal Learning With Opponent-Learning Awareness.
CoRR
Stephen Zhao, Chris Lu, Roger Baker Grosse, Jakob Nicolaus Foerster
2021 A* conf
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving.
ICLR
Yuhuai Wu, Albert Q. Jiang, Jimmy Ba, Roger Baker Grosse
2021 A* conf
When does preconditioning help or hurt generalization?
ICLR
Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu
2020 J jnl
Picking Winning Tickets Before Training by Preserving Gradient Flow.
CoRR
Chaoqi Wang, Guodong Zhang, Roger Baker Grosse
2014 — —
Model selection in compositional spaces.
Roger Baker Grosse