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Anshu Saksena
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2020 – today
- 2023
- [c4]Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak, Zachary N. Sunberg:
Explanation Through Reward Model Reconciliation using POMDP Tree Search. ICAA 2023: 137-140 - [i5]Jennifer Sleeman, David Chung, Chace Ashcraft, Jay Brett, Anand Gnanadesikan, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Caroline Tang, Anshu Saksena, Larry White:
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. CoRR abs/2302.06852 (2023) - [i4]Jennifer Sleeman, David Chung, Anand Gnanadesikan, Jay Brett, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Chace Ashcraft, Caroline Tang, Anshu Saksena, Larry White:
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). CoRR abs/2302.10274 (2023) - [i3]Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak, Zachary N. Sunberg:
Explanation through Reward Model Reconciliation using POMDP Tree Search. CoRR abs/2305.00931 (2023) - 2021
- [c3]Ryan Mukherjee, Derek M. Rollend, Gordon A. Christie, Armin Hadzic, Sally Matson, Anshu Saksena, Marisa Hughes:
Towards Indirect Top-Down Road Transport Emissions Estimation. CVPR Workshops 2021: 1092-1101 - [i2]Ryan Mukherjee, Derek M. Rollend, Gordon A. Christie, Armin Hadzic, Sally Matson, Anshu Saksena, Marisa Hughes:
Towards Indirect Top-Down Road Transport Emissions Estimation. CoRR abs/2103.08829 (2021) - 2020
- [j2]Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. J. Artif. Intell. Res. 69: 1165-1201 (2020)
2010 – 2019
- 2018
- [i1]Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. CoRR abs/1811.02188 (2018)
2000 – 2009
- 2008
- [c2]Anshu Saksena, I-Jeng Wang:
Dynamic ping optimization for surveillance in multistatic sonar buoy networks with energy constraints. CDC 2008: 1109-1114 - [c1]Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang:
Distributed Inference for Network Localization Using Radio Interferometric Ranging. EWSN 2008: 52-73 - 2005
- [j1]Anshu Saksena, Dennis Lucarelli, I-Jeng Wang:
Bayesian model selection for mining mass spectrometry data. Neural Networks 18(5-6): 843-849 (2005)
Coauthor Index
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