Geometric representations of binary codes and computation of weight enumerators. - Pavel Rytír (Adv. Appl. Math., 2010)

Binary linear codes, dimers and hypermatrices. - Martin Loebl; Pavel Rytír (Electron. Notes Discret. Math., 2017)

Using Classical Planning in Adversarial Problems. - Pavel Rytír; Lukás Chrpa; Branislav Bosanský (ICTAI, 2019)

Planning Against Adversary in Zero-Sum Games: Heuristics for Selecting and Ordering Critical Actions. - Lukás Chrpa; Pavel Rytír; Rostislav Horcík (SOCS, 2020)

Adversary Strategy Sampling for Effective Plan Generation. - Lukás Chrpa; Pavel Rytír; Rostislav Horcík; Jan Cuhel; Anastasiia Livochka; Stefan Edelkamp (SOCS, 2021)

Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation. - Lukás Chrpa; Pavel Rytír; Rostislav Horcík; Stefan Edelkamp (AAAI, 2022)

Optimal Mixed Strategies for Cost-Adversarial Planning Games. - Rostislav Horcík; Álvaro Torralba; Pavel Rytír; Lukás Chrpa; Stefan Edelkamp (ICAPS, 2022)

Effective Planning in Resource-Competition Problems by Task Decomposition. - Lukás Chrpa; Pavel Rytír; Andrii Nyporko; Rostislav Horcík; Stefan Edelkamp (SOCS, 2022)

Scheduling a Multi-Product Pipeline: A Discretized MILP Formulation. - Ales Wodecki; Pavel Rytír; Vyacheslav Kungurtsev; Jakub Marecek (CoRR, 2023)

ExDAG: Exact learning of DAGs. - Pavel Rytír; Ales Wodecki; Jakub Marecek (CoRR, 2024)

Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons. - Vyacheslav Kungurtsev; Petr Rysavý; Fadwa Idlahcen; Pavel Rytír; Ales Wodecki (CoRR, 2024)

ExDBN: Exact learning of Dynamic Bayesian Networks. - Pavel Rytír; Ales Wodecki; Georgios Korpas; Jakub Marecek (CoRR, 2024)

Power System Steady-State Estimation Revisited. - Pavel Rytír; Ales Wodecki; Martin Malachov; Pavel Baxant; Premysl Vorác; Miloslava Chladova; Jakub Marecek (CoRR, 2025)

ExMAG: Learning of Maximally Ancestral Graphs. - Petr Rysavý; Pavel Rytír; Xiaoyu He; Georgios Korpas; Jakub Marecek (CoRR, 2025)