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Conference and Workshop Papers
- 2023
[c2]Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem:
Verifying the Union of Manifolds Hypothesis for Image Data. ICLR 2023- [c1]Bradley C. A. Brown, Jordan Juravsky, Atif Mahmud, Wais Shahbaz, Ryan Saul Ehrlich:
Language Models Inversely Scale on Piecewise Function Evaluation with Biased Examples. Tiny Papers @ ICLR 2023
Informal and Other Publications
- 2024
- [i4]Jordan Juravsky, Bradley C. A. Brown, Ryan Saul Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini:
Hydragen: High-Throughput LLM Inference with Shared Prefixes. CoRR abs/2402.05099 (2024) - [i3]Bradley C. A. Brown, Jordan Juravsky, Ryan Saul Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini:
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. CoRR abs/2407.21787 (2024) - 2022
- [i2]Bradley C. A. Brown, Anthony L. Caterini, Brendan Leigh Ross, Jesse C. Cresswell, Gabriel Loaiza-Ganem:
The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling. CoRR abs/2207.02862 (2022) - [i1]Bradley C. A. Brown, Jordan Juravsky, Anthony L. Caterini, Gabriel Loaiza-Ganem:
Relating Regularization and Generalization through the Intrinsic Dimension of Activations. CoRR abs/2211.13239 (2022)
Coauthor Index
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