auto_diff: An Automatic Differentiation Package For Python. - Parth Nobel (SpringSim, 2020)

Solving combinatorial optimisation problems using oscillator based Ising machines. - Tianshi Wang; Leon Wu; Parth Nobel; Jaijeet Roychowdhury (Nat. Comput., 2021)

Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model. - Jiankai Sun; Yiqi Jiang; Jianing Qiu; Parth Nobel; Mykel J. Kochenderfer; Mac Schwager (NeurIPS, 2023)

Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers. - Parth Nobel; Emmanuel J. Candès; Stephen P. Boyd (IEEE Trans. Signal Process., 2023)

Computing tighter bounds on the n-queens constant via Newton's method. - Parth Nobel; Akshay Agrawal 001; Stephen P. Boyd (Optim. Lett., 2023)

RandALO: Out-of-sample risk estimation in no time flat. - Parth Nobel; Daniel LeJeune; Emmanuel J. Candès (CoRR, 2024)

Fast Path Planning Through Large Collections of Safe Boxes. - Tobia Marcucci; Parth Nobel; Russ Tedrake; Stephen P. Boyd (IEEE Trans. Robotics, 2024)