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2020 – today
- 2024
[j4]Tobia Marcucci
, Parth Nobel, Russ Tedrake, Stephen P. Boyd:
Fast Path Planning Through Large Collections of Safe Boxes. IEEE Trans. Robotics 40: 3795-3811 (2024)- [i2]Parth Nobel, Daniel LeJeune, Emmanuel J. Candès:
RandALO: Out-of-sample risk estimation in no time flat. CoRR abs/2409.09781 (2024) - 2023
- [j3]Parth Nobel, Akshay Agrawal, Stephen P. Boyd:
Computing tighter bounds on the n-queens constant via Newton's method. Optim. Lett. 17(5): 1229-1240 (2023) - [j2]Parth Nobel, Emmanuel J. Candès, Stephen P. Boyd:
Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers. IEEE Trans. Signal Process. 71: 4330-4341 (2023) - [c2]Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J. Kochenderfer, Mac Schwager:
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model. NeurIPS 2023 - [i1]Tobia Marcucci, Parth Nobel, Russ Tedrake, Stephen P. Boyd:
Fast Path Planning Through Large Collections of Safe Boxes. CoRR abs/2305.01072 (2023) - 2021
- [j1]Tianshi Wang, Leon Wu, Parth Nobel, Jaijeet Roychowdhury:
Solving combinatorial optimisation problems using oscillator based Ising machines. Nat. Comput. 20(2): 287-306 (2021) - 2020
- [c1]Parth Nobel:
auto_diff: An Automatic Differentiation Package For Python. SpringSim 2020: 1-12
Coauthor Index
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