Feng Chen

According to our database, Feng Chen authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks.

Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James B. Simon, Michael Robert DeWeese, Surya Ganguli, Nina Miolane

CoRR, June, 2025

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving.

Ran Xin, Chenguang Xi, Jie Yang, Feng Chen, Hang Wu, Xia Xiao, Yifan Sun, Shen Zheng, Kai Shen

CoRR, February, 2025

Informed Correctors for Discrete Diffusion Models.

Yixiu Zhao, Jiaxin Shi, Feng Chen, Shaul Druckmann, Lester Mackey, Scott W. Linderman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning.

Feng Chen, Allan Raventós, Nan Cheng, Surya Ganguli, Shaul Druckmann

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving.

Ran Xin, Chenguang Xi, Jie Yang, Feng Chen, Hang Wu, Xia Xiao, Yifan Sun, Shen Zheng, Ming Ding

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning.

Daniel Kunin, Allan Raventós, Clémentine C. J. Dominé, Feng Chen, David A. Klindt, Andrew M. Saxe, Surya Ganguli

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression.

Allan Raventós, Mansheej Paul, Feng Chen, Surya Ganguli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks.

Feng Chen, Daniel Kunin, Atsushi Yamamura, Surya Ganguli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?

Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite

Proceedings of the Eleventh International Conference on Learning Representations, 2023