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cs.LG2026
Scalable and Reliable State-Aware Inference of High-Impact N-k Contingencies
Lihao Mai, Chenhan Xiao, Yang Weng
Increasing penetration of inverter-based resources, flexible loads, and rapidly changing operating conditions make higher-order contingency assessment increasingly import…
cs.LG2026
LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems
Haoran Li, Chenhan Xiao, Lihao Mai +2
Foundation models have transformed language, vision, and time series data analysis, yet progress on dynamic predictions for physical systems remains limited. Given the complexity o…
cs.LG2025
From Imperfect Signals to Trustworthy Structure: Confidence-Aware Inference from Heterogeneous and Reliability-Varying Utility Data
Haoran Li, Lihao Mai, Muhao Guo +4
Accurate distribution grid topology is essential for reliable modern grid operations. However, real-world utility data originates from multiple sources with varying characteristics…