activity
20232025
most citedLearning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2025

Topological Quantum Compilation Using Mixed-Integer Programming

Pavel Rytir, Phillip C. Burke, Christos Aravanis +2

We introduce the Mixed-Integer Quadratically Constrained Quadratic Programming framework for the quantum compilation problem and apply it in the context of topological quantum comp…

cs.LG2025

ExMAG: Learning of Maximally Ancestral Graphs

Petr Ryšavý, Pavel Rytíř, Xiaoyu He +2

In mixed graphs, there are both directed and bidirected edges. An extension of acyclicity to this mixed-graph setting is known as maximally ancestral graphs. This extension is of c…

math.OC2025

Power System Steady-State Estimation Revisited

Pavel Rytir, Ales Wodecki, Martin Malachov +4

In power system steady-state estimation (PSSE), one needs to consider (1) the need for robust statistics, (2) the nonconvex transmission constraints, (3) the fast-varying nature of…

cs.LG2024

ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations

Pavel Rytir, Ales Wodecki, Georgios Korpas +1

Causal learning from data has received much attention recently. Bayesian networks can be used to capture causal relationships. There, one recovers a weighted directed acyclic graph…

cs.LG2024★ 1 cited

Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons

Vyacheslav Kungurtsev, Fadwa Idlahcen, Petr Rysavy +2

In this paper, we present a guide to the foundations of learning Dynamic Bayesian Networks (DBNs) from data in the form of multiple samples of trajectories for some length of time.…

cs.LG2024

ExDAG: an MIQP Algorithm for Learning DAGs

Pavel Rytir, Ales Wodecki, Jakub Marecek

There has been a growing interest in causal learning in recent years. Commonly used representations of causal structures, including Bayesian networks and structural equation models…

math.OC2023

Scheduling a Multi-Product Pipeline: A Discretized MILP Formulation

Ales Wodecki, Pavel Rytir, Vyacheslav Kungurtsev +1

Multi-product pipelines are a highly efficient means of transporting liquids. Traditionally used to transport petroleum, its products and derivatives, they are now being repurposed…