Are Perceptually-Aligned Gradients a General Property of Robust Classifiers? - Simran Kaur 001; Jeremy Cohen 001; Zachary C. Lipton (CoRR, 2019)

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. - Jeremy Cohen 001; Simran Kaur 001; Yuanzhi Li; J. Zico Kolter; Ameet Talwalkar (ICLR, 2021)

On the Maximum Hessian Eigenvalue and Generalization. - Simran Kaur 001; Jeremy Cohen 001; Zachary Chase Lipton (ICBINB, 2022)

Disentangling the Mechanisms Behind Implicit Regularization in SGD. - Zachary Novack; Simran Kaur 001; Tanya Marwah; Saurabh Garg; Zachary Chase Lipton (ICLR, 2023)

SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. - Dingli Yu; Simran Kaur 001; Arushi Gupta; Jonah Brown-Cohen; Anirudh Goyal; Sanjeev Arora (ICLR, 2024)

Can Models Learn Skill Composition from Examples? - Haoyu Zhao; Simran Kaur 001; Dingli Yu; Anirudh Goyal; Sanjeev Arora (NeurIPS, 2024)

Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning. - Simran Kaur 001; Simon Park 002; Anirudh Goyal; Sanjeev Arora (ICLR, 2025)