| A survey on multi‐output regression H Borchani, G Varando, C Bielza, P Larranaga Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015 | 881 | 2015 |
| Causal inference for time series J Runge, A Gerhardus, G Varando, V Eyring, G Camps-Valls Nature Reviews Earth & Environment 4 (7), 487-505, 2023 | 329 | 2023 |
| Discovering causal relations and equations from data G Camps-Valls, A Gerhardus, U Ninad, G Varando, G Martius, ... Physics Reports 1044, 1-68, 2023 | 153 | 2023 |
| Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values S Weichwald, ME Jakobsen, PB Mogensen, L Petersen, N Thams, ... NeurIPS 2019 Competition and Demonstration Track, 27-36, 2020 | 45 | 2020 |
| The R package stagedtrees for structural learning of stratified staged trees F Carli, M Leonelli, E Riccomagno, G Varando Journal of Statistical Software 102 (6), 1-30, 2022 | 39 | 2022 |
| Decision boundary for discrete Bayesian network classifiers G Varando, MC Bielza Lozoya, PM Larrañaga Múgica Journal of Machine Learning Research, 2725-2749, 2015 | 36 | 2015 |
| Large language models for constrained-based causal discovery KH Cohrs, G Varando, E Diaz, V Sitokonstantinou, G Camps-Valls arXiv preprint arXiv:2406.07378, 2024 | 31 | 2024 |
| Graphical continuous Lyapunov models G Varando, NR Hansen Conference on Uncertainty in Artificial Intelligence, 989-998, 2020 | 29 | 2020 |
| Large language models for causal hypothesis generation in science KH Cohrs, E Diaz, V Sitokonstantinou, G Varando, G Camps-Valls Machine Learning: Science and Technology 6 (1), 013001, 2025 | 22 | 2025 |
| Context-specific causal discovery for categorical data using staged trees M Leonelli, G Varando International conference on artificial intelligence and statistics, 8871-8888, 2023 | 22 | 2023 |
| Decision functions for chain classifiers based on Bayesian networks for multi-label classification G Varando, C Bielza, P Larrañaga International Journal of Approximate Reasoning 68, 164-178, 2016 | 19 | 2016 |
| Causal hybrid modeling with double machine learning—applications in carbon flux modeling KH Cohrs, G Varando, N Carvalhais, M Reichstein, G Camps-Valls Machine Learning: Science and Technology 5 (3), 035021, 2024 | 17* | 2024 |
| Highly efficient structural learning of sparse staged trees M Leonelli, G Varando International conference on probabilistic graphical models, 193-204, 2022 | 17 | 2022 |
| Staged trees and asymmetry-labeled DAGs G Varando, F Carli, M Leonelli Metrika 88 (6), 855-882, 2025 | 15 | 2025 |
| Structural learning of simple staged trees M Leonelli, G Varando Data Mining and Knowledge Discovery 38 (3), 1520-1544, 2024 | 15 | 2024 |
| Learning DAGs without imposing acyclicity G Varando arXiv preprint arXiv:2006.03005, 2020 | 14 | 2020 |
| A new class of generative classifiers based on staged tree models F Carli, M Leonelli, G Varando Knowledge-Based Systems 268, 110488, 2023 | 12 | 2023 |
| On generating random Gaussian graphical models I Córdoba, G Varando, C Bielza, P Larrañaga International Journal of Approximate Reasoning 125, 240-250, 2020 | 12 | 2020 |
| Learning Granger Causal Feature Representations G Varando, MA Fernández-Torres, G Camps-Valls | 11 | 2021 |
| Expressive power of binary relevance and chain classifiers based on Bayesian networks for multi-label classification G Varando, C Bielza, P Larranaga European Workshop on Probabilistic Graphical Models, 519-534, 2014 | 11 | 2014 |
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
