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cs.LG2026
Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
Khai Nguyen, Petros Ellinas, Anvita Bhagavathula +1
To scale optimization and simulation, prior work has explored training machine-learning surrogates that map problem parameters to solutions inexpensively at inference time. Unfortu…
cs.LG2025
PF: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana K. Rivera, Anvita Bhagavathula, Alvaro Carbonero +1
Power flow (PF) calculations are the backbone of real-time grid operations, across workflows such as contingency analysis (where repeated PF evaluations assess grid security under…