Georgios Korpas

According to our database, Georgios Korpas authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Binarizing Physics-Inspired GNNs for Combinatorial Optimization.

Martin Krutsky, Gustav Sír, Vyacheslav Kungurtsev, Georgios Korpas

CoRR, July, 2025

ExMAG: Learning of Maximally Ancestral Graphs.

Petr Rysavý, Pavel Rytír, Xiaoyu He, Georgios Korpas, Jakub Marecek

CoRR, March, 2025

Federated Sinkhorn.

Jeremy Kulcsar, Vyacheslav Kungurtsev, Georgios Korpas, Giulio Giaconi, William Shoosmith

CoRR, February, 2025

2024

Iteration Complexity of Variational Quantum Algorithms.

Vyacheslav Kungurtsev, Georgios Korpas, Jakub Marecek, Elton Yechao Zhu

Quantum, 2024

ExDBN: Exact learning of Dynamic Bayesian Networks.

Pavel Rytír, Ales Wodecki, Georgios Korpas, Jakub Marecek

CoRR, 2024

Learning Generalized Hamiltonians using fully Symplectic Mappings.

Harsh Choudhary, Chandan Gupta, Vyacheslav kungrutsev, Melvin Leok, Georgios Korpas

CoRR, 2024

Taming Binarized Neural Networks and Mixed-Integer Programs.

Johannes Aspman, Georgios Korpas, Jakub Marecek

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Survey of Quantum Alternatives to Randomized Algorithms: Monte Carlo Integration and Beyond.

Philip Intallura, Georgios Korpas, Sudeepto Chakraborty, Vyacheslav Kungurtsev, Jakub Marecek

CoRR, 2023

2022

Recovering models of open quantum systems from data via polynomial optimization: Towards globally convergent quantum system identification.

Denys I. Bondar, Zakhar Popovych, Kurt Jacobs, Georgios Korpas, Jakub Marecek

CoRR, 2022