Bayesian inference in probabilistic graphical models. - Felix Leopoldo Rios (2017)

Sequential sampling of junction trees for decomposable graphs. - Jimmy Olsson; Tetyana Pavlenko; Felix L. Rios (CoRR, 2018)

Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models. - Felix L. Rios; Giusi Moffa; Jack Kuipers (CoRR, 2021)

Sequential sampling of junction trees for decomposable graphs. - Jimmy Olsson; Tatjana Pavlenko; Felix L. Rios (Stat. Comput., 2022)

Scalable Structure Learning for Sparse Context-Specific Causal Systems. - Felix Leopoldo Rios; Alex Markham; Liam Solus (CoRR, 2024)

Exact discovery is polynomial for certain sparse causal Bayesian networks. - Felix Leopoldo Rios; Giusi Moffa; Jack Kuipers (CLeaR, 2025)