Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. - Xiaoxi Zhang 001; Jianyu Wang; Li-Feng Lee; Tom Yang; Akansha Kalra; Gauri Joshi; Carlee Joe-Wong (IEEE/ACM Trans. Netw., 2022)

Can Differentiable Decision Trees Learn Interpretable Reward Functions? - Akansha Kalra; Daniel S. Brown (CoRR, 2023)

Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback? - Akansha Kalra; Daniel S. Brown (RLJ, 2024)

How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies. - Basavasagar Patil; Akansha Kalra; Guanhong Tao 001; Daniel S. Brown (CoRR, 2025)