Raventós, Allan

7 publications

NeurIPS 2025 Rethinking Fine-Tuning When Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning Feng Chen, Allan Raventos, Nan Cheng, Surya Ganguli, Shaul Druckmann

ICLRW 2025 Rethinking Fine-Tuning When Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning Feng Chen, Allan Raventos, Nan Cheng, Surya Ganguli, Shaul Druckmann

NeurIPS 2024 Get Rich Quick: Exact Solutions Reveal How Unbalanced Initializations Promote Rapid Feature Learning Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli

ICMLW 2024 Get Rich Quick: Exact Solutions Reveal How Unbalanced Initializations Promote Rapid Feature Learning Daniel Kunin, Allan Raventos, Clémentine Carla Juliette Dominé, Feng Chen, David Klindt, Andrew M Saxe, Surya Ganguli

NeurIPS 2023 Pretraining Task Diversity and the Emergence of Non-Bayesian In-Context Learning for Regression Allan Raventós, Mansheej Paul, Feng Chen, Surya Ganguli

ICLRW 2023 The Effects of Pretraining Task Diversity on In-Context Learning of Ridge Regression Allan Raventos, Mansheej Paul, Feng Chen, Surya Ganguli

NeurIPS 2022 SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson, Allan Raventós, Andrew Warrington, Scott Linderman