3 papers
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…
cs.LG2024
Causal Learning in Biomedical Applications: Krebs Cycle as a Benchmark
Xiaoyu He, Petr Ryšavý, Jakub Mareček
Learning causal relationships from time series data is an important but challenging problem. Existing synthetic datasets often contain hidden artifacts that can be exploited by cau…
math.OC2023
Joint Problems in Learning Multiple Dynamical Systems
Mengjia Niu, Xiaoyu He, Petr Ryšavý +2
Clustering of time series is a well-studied problem, with applications ranging from quantitative, personalized models of metabolism obtained from metabolite concentrations to state…