Georgios Korpas

12 papers A* 1A 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 A conf
Binarizing Physics-Inspired GNNs for Combinatorial Optimization.
ECAI
Martin Krutsky, Gustav Sír, Vyacheslav Kungurtsev, Georgios Korpas
2025 J jnl
Binarizing Physics-Inspired GNNs for Combinatorial Optimization.
CoRR
Martin Krutsky, Gustav Sír, Vyacheslav Kungurtsev, Georgios Korpas
2025 J jnl
ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations.
Trans. Mach. Learn. Res.
Pavel Rytír, Ales Wodecki, Georgios Korpas, Jakub Marecek
2025 J jnl
ExMAG: Learning of Maximally Ancestral Graphs.
CoRR
Petr Rysavý, Pavel Rytír, Xiaoyu He, Georgios Korpas, Jakub Marecek
2025 J jnl
Federated Sinkhorn.
CoRR
Jeremy Kulcsar, Vyacheslav Kungurtsev, Georgios Korpas, Giulio Giaconi, William Shoosmith
2024 J jnl
ExDBN: Exact learning of Dynamic Bayesian Networks.
CoRR
Pavel Rytír, Ales Wodecki, Georgios Korpas, Jakub Marecek
2024 J jnl
Iteration Complexity of Variational Quantum Algorithms.
Quantum
Vyacheslav Kungurtsev, Georgios Korpas, Jakub Marecek, Elton Yechao Zhu
2024 J jnl
Learning Generalized Hamiltonians using fully Symplectic Mappings.
CoRR
Harsh Choudhary, Chandan Gupta, Vyacheslav kungrutsev, Melvin Leok, Georgios Korpas
2024 A* conf
Taming Binarized Neural Networks and Mixed-Integer Programs.
AAAI
Johannes Aspman, Georgios Korpas, Jakub Marecek
2023 J jnl
A Survey of Quantum Alternatives to Randomized Algorithms: Monte Carlo Integration and Beyond.
CoRR
Philip Intallura, Georgios Korpas, Sudeepto Chakraborty, Vyacheslav Kungurtsev, Jakub Marecek
2023 J jnl
Taming Binarized Neural Networks and Mixed-Integer Programs.
CoRR
Johannes Aspman, Georgios Korpas, Jakub Marecek
2022 J jnl
Recovering models of open quantum systems from data via polynomial optimization: Towards globally convergent quantum system identification.
CoRR
Denys I. Bondar, Zakhar Popovych, Kurt Jacobs, Georgios Korpas, Jakub Marecek