| Predicting strain-induced martensite in austenitic steels by combining physical modelling and machine learning W Mu, M Rahaman, FL Rios, J Odqvist, P Hedström Materials & Design 197, 109199, 2021 | 28 | 2021 |
| Benchpress: A scalable and versatile workflow for benchmarking structure learning algorithms FL Rios, G Moffa, J Kuipers arXiv preprint arXiv:2107.03863, 2021 | 13* | 2021 |
| Bayesian learning of weakly structural Markov graph laws using sequential Monte Carlo methods J Olsson, T Pavlenko, FL Rios Electronic Journal of Statistics 13 (2), 2865-2897, 2019 | 8* | 2019 |
| Sequential sampling of junction trees for decomposable graphs J Olsson, T Pavlenko, FL Rios Statistics and Computing 32 (80), 2022 | 7* | 2022 |
| Scalable Structure Learning for Sparse Context-Specific Causal Systems FL Rios, A Markham, L Solus arXiv preprint arXiv:2402.07762, 2024 | | 2024 |
| Graphical posterior predictive classification: Bayesian model averaging with particle Gibbs T Pavlenko, F Rios Theory of Probability and Mathematical Statistics 109, 81-99, 2023 | | 2023 |
| Bayesian inference in probabilistic graphical models FL Rios KTH Royal Institute of Technology, 2017 | | 2017 |
