Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks. - Mohammad Javad Sadeh; Giusi Moffa; Rainer Spang (RECOMB, 2013)

Considering Unknown Unknowns: Reconstruction of Nonconfoundable Causal Relations in Biological Networks. - Mohammad Javad Sadeh; Giusi Moffa; Rainer Spang (J. Comput. Biol., 2013)

Sequential Monte Carlo EM for multivariate probit models. - Giusi Moffa; Jack Kuipers (Comput. Stat. Data Anal., 2014)

Uniform random generation of large acyclic digraphs. - Jack Kuipers; Giusi Moffa (Stat. Comput., 2015)

Efficient Structure Learning and Sampling of Bayesian Networks. - Jack Kuipers; Polina Suter; Giusi Moffa (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)

Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference. - Fritz M. Bayer; Giusi Moffa; Niko Beerenwinkel; Jack Kuipers (CoRR, 2021)

Learning Bayesian Networks from Ordinal Data. - Xiang Ge Luo; Giusi Moffa; Jack Kuipers (J. Mach. Learn. Res., 2021)

The Dual PC Algorithm for Structure Learning. - Enrico Giudice; Jack Kuipers; Giusi Moffa (PGM, 2022)

Efficient Sampling and Structure Learning of Bayesian Networks. - Jack Kuipers; Polina Suter; Giusi Moffa (J. Comput. Graph. Stat., 2022)

A Bayesian Take on Gaussian Process Networks. - Enrico Giudice; Jack Kuipers; Giusi Moffa (NeurIPS, 2023)

Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG. - Polina Suter; Jack Kuipers; Giusi Moffa; Niko Beerenwinkel (J. Stat. Softw., 2023)

The dual PC algorithm and the role of Gaussianity for structure learning of Bayesian networks. - Enrico Giudice; Jack Kuipers; Giusi Moffa (Int. J. Approx. Reason., 2023)

Bayesian Causal Inference with Gaussian Process Networks. - Enrico Giudice; Jack Kuipers; Giusi Moffa (CoRR, 2024)

The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions. - Jack Kuipers; Giusi Moffa (CLeaR, 2025)

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