Publications

M Chehade, H Zhu

"NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids"

Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS), 2026

M Chehade, W Li, BW Bell, R Bent, SR Kazi, H Zhu

"LEVIS: Large Exact Verifiable Input Spaces for Neural Networks"

Proceedings of the 41st International Conference on Machine Learning (ICML), 2025

M Chehade, SS Ghosal, S Chakraborty, A Reddy, D Manocha, H Zhu, AS Bedi

"Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time"

Proceedings of the 41st International Conference on Machine Learning (ICML), 2025

M Chehade, S Karaki

"BOOST: Microgrid Sizing using Ordinal Optimization"

2025 Texas Power and Energy Conference (TPEC), IEEE, pp. 1–4, Feb. 2025

M Chehade, YH Cho, S Chinchali, H Zhu

"Should We Use Model-Free or Model-Based Control? A Case Study of Battery Control"

2024 56th North American Power Symposium (NAPS), IEEE, pp. 1–5, Oct. 2024

M Chehade, AS Bedi, A Zhang, H Zhu

"CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk"

arXiv, 2024