Using domain knowledge to constrain structure learning in a Bayesian bioagent detector. - Anshu Saksena; Dennis Lucarelli; I-Jeng Wang (IJCNN, 2005)

Bayesian model selection for mining mass spectrometry data. - Anshu Saksena; Dennis Lucarelli; I-Jeng Wang (Neural Networks, 2005)

Dynamic ping optimization for surveillance in multistatic sonar buoy networks with energy constraints. - Anshu Saksena; I-Jeng Wang (CDC, 2008)

Distributed Inference for Network Localization Using Radio Interferometric Ranging. - Dennis Lucarelli; Anshu Saksena; Ryan Farrell; I-Jeng Wang (EWSN, 2008)

Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. - Ritchie Lee; Ole J. Mengshoel; Anshu Saksena; Ryan W. Gardner; Daniel Genin; Joshua Silbermann; Michael P. Owen; Mykel J. Kochenderfer (CoRR, 2018)

Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. - Ritchie Lee; Ole J. Mengshoel; Anshu Saksena; Ryan W. Gardner; Daniel Genin; Joshua Silbermann; Michael P. Owen; Mykel J. Kochenderfer (J. Artif. Intell. Res., 2020)

Towards Indirect Top-Down Road Transport Emissions Estimation. - Ryan Mukherjee; Derek M. Rollend; Gordon A. Christie; Armin Hadzic; Sally Matson; Anshu Saksena; Marisa Hughes (CVPR Workshops, 2021)

Explanation Through Reward Model Reconciliation using POMDP Tree Search. - Benjamin D. Kraske; Anshu Saksena; Anna L. Buczak; Zachary N. Sunberg (ICAA, 2023)

Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. - 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; et al. (CoRR, 2023)

A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). - 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; et al. (CoRR, 2023)