Search Results for author: Miha Zgubic

Found 2 papers, 1 papers with code

CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations

no code implementations26 Mar 2024 Luis Piloto, Sofia Liguori, Sephora Madjiheurem, Miha Zgubic, Sean Lovett, Hamish Tomlinson, Sophie Elster, Chris Apps, Sims Witherspoon

Optimal Power Flow (OPF) refers to a wide range of related optimization problems with the goal of operating power systems efficiently and securely.

Preserving physically important variables in optimal event selections: A case study in Higgs physics

1 code implementation3 Jul 2019 Philipp Windischhofer, Miha Zgubic, Daniela Bortoletto

Analyses of collider data, often assisted by modern Machine Learning methods, condense a number of observables into a few powerful discriminants for the separation of the targeted signal process from the contributing backgrounds.

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