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Aman Sinha 0001
Person information
- affiliation: Waymo, LLC
- affiliation (former): Stanford University, Department of Electrical Engineering, CA, USA
Other persons with the same name
- Aman Sinha — disambiguation page
- Aman Sinha 0002 — University of Lorraine, Nancy, France (and 2 more)
- Aman Sinha 0003
— University of Utah, Kahlert School of Computing / Scientific Computing and Imaging Institute, UT, USA (and 1 more)
- Aman Sinha 0004 — University of Texas, Austin, TX, USA
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2020 – today
- 2024
- [c9]Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson:
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. CoRL 2024: 2579-2598 - [i8]Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson:
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. CoRR abs/2411.17826 (2024) - 2022
- [c8]Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson:
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. CoRL 2022: 188-198 - [i7]Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson:
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. CoRR abs/2212.01375 (2022) - 2020
- [c7]Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John C. Duchi, Russ Tedrake:
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis. ICML 2020: 8992-9004 - [c6]Aman Sinha, Matthew O'Kelly, Russ Tedrake, John C. Duchi:
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems. NeurIPS 2020 - [i6]Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John C. Duchi, Russ Tedrake:
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis. CoRR abs/2003.03900 (2020) - [i5]Aman Sinha, Matthew O'Kelly, John C. Duchi, Russ Tedrake:
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems. CoRR abs/2008.10581 (2020)
2010 – 2019
- 2019
- [i4]Justin Norden, Matthew O'Kelly, Aman Sinha:
Efficient Black-box Assessment of Autonomous Vehicle Safety. CoRR abs/1912.03618 (2019) - 2018
- [c5]Aman Sinha, Hongseok Namkoong, John C. Duchi:
Certifying Some Distributional Robustness with Principled Adversarial Training. ICLR 2018 - [c4]Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, Russ Tedrake, John C. Duchi:
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation. NeurIPS 2018: 9849-9860 - [i3]Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, John C. Duchi, Russ Tedrake:
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation. CoRR abs/1811.00145 (2018) - [i2]Matthew O'Kelly, Aman Sinha, Justin Norden, Hongseok Namkoong:
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation. CoRR abs/1812.00293 (2018) - 2017
- [c3]Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi:
Adaptive Sampling Probabilities for Non-Smooth Optimization. ICML 2017: 2574-2583 - [i1]Aman Sinha, Hongseok Namkoong, John C. Duchi:
Certifiable Distributional Robustness with Principled Adversarial Training. CoRR abs/1710.10571 (2017) - 2016
- [c2]Aman Sinha, John C. Duchi:
Learning Kernels with Random Features. NIPS 2016: 1298-1306 - 2015
- [c1]Aman Sinha, John C. Duchi, Nicholas Bambos:
Dynamic management of network risk from epidemic phenomena. CDC 2015: 1583-1588
Coauthor Index

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