Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems. - Aron Brenner; Manxi Wu; Saurabh Amin (ITSC, 2022)

Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints. - Aron Brenner; Rahman Khorramfar; Dharik Mallapragada; Saurabh Amin (CoRR, 2022)

Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems. - Aron Brenner; Rahman Khorramfar; Saurabh Amin (ICCPS, 2023)

Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach. - Aron Brenner; Rahman Khorramfar; Dharik Mallapragada; Saurabh Amin (CoRR, 2024)

A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization. - Aron Brenner; Rahman Khorramfar; Jennifer Z. Sun; Saurabh Amin (ICLR, 2025)