Intra-Processing Methods for Debiasing Neural Networks. - Yash Savani; Colin White; Naveen Sundar Govindarajulu (NeurIPS, 2020)

A Study on Encodings for Neural Architecture Search. - Colin White; Willie Neiswanger; Sam Nolen; Yash Savani (NeurIPS, 2020)

Local Search is State of the Art for NAS Benchmarks. - Colin White; Sam Nolen; Yash Savani (CoRR, 2020)

Post-Hoc Methods for Debiasing Neural Networks. - Yash Savani; Colin White; Naveen Sundar Govindarajulu (CoRR, 2020)

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. - Colin White; Willie Neiswanger; Yash Savani (AAAI, 2021)

NAS-Bench-x11 and the Power of Learning Curves. - Shen Yan; Colin White; Yash Savani; Frank Hutter (NeurIPS, 2021)

Exploring the loss landscape in neural architecture search. - Colin White; Sam Nolen; Yash Savani (UAI, 2021)

Deep Equilibrium Optical Flow Estimation. - Shaojie Bai; Zhengyang Geng; Yash Savani; J. Zico Kolter (CVPR, 2022)

Diffusing Differentiable Representations. - Yash Savani; Marc Finzi; J. Zico Kolter (NeurIPS, 2024)

Antidistillation Sampling. - Yash Savani; Asher Trockman; Zhili Feng; Avi Schwarzschild; Alexander Robey; Marc Finzi; J. Zico Kolter (CoRR, 2025)

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning. - Yixuan Even Xu; Yash Savani; Fei Fang 001; Zico Kolter (CoRR, 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, 2025)