Policy iteration for robust nonstationary Markov decision processes. - Saumya Sinha; Archis Ghate (Optim. Lett., 2016)

Robust response-guided dosing. - Saumya Sinha; Jakob Kotas; Archis Ghate (Oper. Res. Lett., 2016)

Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery. - Saumya Sinha; Sophie Giffard-Roisin; Fatima Karbou; Michael Deschatres; Anna Karas; Nicolas Eckert; Cécile Coléou; Claire Monteleoni (CI, 2020)

Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles. - Saumya Sinha; John Fasullo; Robert Steven Nerem; Claire Monteleoni (CoRR, 2023)

Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data. - Saumya Sinha; John Fasullo; Robert Steven Nerem; Claire Monteleoni (CoRR, 2023)

On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling. - Saumya Sinha; Brandon Benton; Patrick Emami (CoRR, 2024)

Characterizing Rational Transplant Program Response to Outcome-Based Regulation. - David T. Mildebrath; Taewoo Lee; Saumya Sinha; Andrew J. Schaefer; A. Osama Gaber (Oper. Res., 2024)

Markov decision process design: A framework for integrating strategic and operational decisions. - Seth Brown; Saumya Sinha; Andrew J. Schaefer (Oper. Res. Lett., 2024)

Relaxations and duality for multiobjective integer programming. - Alex Dunbar; Saumya Sinha; Andrew J. Schaefer (Math. Program., 2024)

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems. - Patrick Emami; Zhaonan Li; Saumya Sinha; Truc Nguyen (ICLR, 2025)

On the strength of Lagrangian duality in multiobjective integer programming. - Matthew Brun; Tyler A. Perini; Saumya Sinha; Andrew J. Schaefer (Math. Program., 2025)