Bradley C. A. Brown

According to our database, Bradley C. A. Brown authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Bradley C. A. Brown, Jordan Juravsky, Ryan Saul Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini

CoRR, 2024

Hydragen: High-Throughput LLM Inference with Shared Prefixes.

Jordan Juravsky, Bradley C. A. Brown, Ryan Saul Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini

CoRR, 2024

2023

Language Models Inversely Scale on Piecewise Function Evaluation with Biased Examples.

Bradley C. A. Brown, Jordan Juravsky, Atif Mahmud, Wais Shahbaz, Ryan Saul Ehrlich

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Verifying the Union of Manifolds Hypothesis for Image Data.

Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Relating Regularization and Generalization through the Intrinsic Dimension of Activations.

Bradley C. A. Brown, Jordan Juravsky, Anthony L. Caterini, Gabriel Loaiza-Ganem

CoRR, 2022

The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling.

Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem

CoRR, 2022