Yash Savani

According to our database, Yash Savani authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

Stepwise Credit Assignment for GRPO on Flow-Matching Models.

Yash Savani, Branislav Kveton, Yuchen Liu, Yilin Wang, Jing Shi, Subhojyoti Mukherjee, Nikos Vlassis, Krishna Kumar Singh

CoRR, March, 2026

Antidistillation Fingerprinting.

Yixuan Even Xu, John Kirchenbauer, Yash Savani, Asher Trockman, Alexander Robey, Tom Goldstein, Fei Fang, J. Zico Kolter

CoRR, February, 2026

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning.

Yixuan Even Xu, Yash Savani, Fei Fang, J. Zico Kolter

Trans. Mach. Learn. Res., 2026

2025

Safety Pretraining: Toward the Next Generation of Safe AI.

Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Zacharcy C. Lipton, J. Zico Kolter

CoRR, April, 2025

Antidistillation Sampling.

Yash Savani, Asher Trockman, Zhili Feng, Yixuan Even Xu, Avi Schwarzschild, Alexander Robey, Marc Finzi, Zico Kolter

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

2024

Diffusing Differentiable Representations.

Yash Savani, Marc Finzi, J. Zico Kolter

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

2022

Deep Equilibrium Optical Flow Estimation.

Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Exploring the loss landscape in neural architecture search.

Colin White, Sam Nolen, Yash Savani

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

NAS-Bench-x11 and the Power of Learning Curves.

Shen Yan, Colin White, Yash Savani, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search.

Colin White, Willie Neiswanger, Yash Savani

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Post-Hoc Methods for Debiasing Neural Networks.

Yash Savani, Colin White, Naveen Sundar Govindarajulu

CoRR, 2020

Local Search is State of the Art for NAS Benchmarks.

Colin White, Sam Nolen, Yash Savani

CoRR, 2020

A Study on Encodings for Neural Architecture Search.

Colin White, Willie Neiswanger, Sam Nolen, Yash Savani

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Intra-Processing Methods for Debiasing Neural Networks.

Yash Savani, Colin White, Naveen Sundar Govindarajulu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020