| AI in drug development: a multidisciplinary perspective V Gallego, R Naveiro, C Roca, D Rios Insua, NE Campillo Molecular Diversity 25, 1461-1479, 2021 | 58 | 2021 |
| Stochastic gradient MCMC with repulsive forces V Gallego, DR Insua NIPS Workshop on Bayesian Deep Learning, 2018 | 40 | 2018 |
| Reinforcement learning under threats V Gallego, R Naveiro, DR Insua Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9939-9940, 2019 | 36 | 2019 |
| Adversarial risk analysis: An overview D Banks, V Gallego, R Naveiro, D Ríos Insua Wiley Interdisciplinary Reviews: Computational Statistics 14 (1), e1530, 2022 | 35 | 2022 |
| Adversarial machine learning: Bayesian perspectives D Rios Insua, R Naveiro, V Gallego, J Poulos Journal of the American Statistical Association 118 (543), 2195-2206, 2023 | 23* | 2023 |
| Current advances in neural networks V Gallego, D Rios Insua Annual Review of Statistics and Its Application 9 (1), 197-222, 2022 | 21 | 2022 |
| Opponent aware reinforcement learning V Gallego, R Naveiro, DR Insua, DGU Oteiza arXiv preprint arXiv:1908.08773, 2019 | 17 | 2019 |
| TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data D Precioso, M Navarro-García, K Gavira-O'Neill, A Torres-Barrán, ... Fisheries Research 250, 106263, 2022 | 16 | 2022 |
| Assessing the effect of advertising expenditures upon sales: a Bayesian structural time series model V Gallego, P Suárez‐García, P Angulo, D Gómez‐Ullate Applied Stochastic Models in Business and Industry 35 (3), 479-491, 2019 | 16 | 2019 |
| Waves in isotropic totalistic cellular automata: Application to real-time robot navigation C Calvo, JA Villacorta-Atienza, VI Mironov, V Gallego, VA Makarov Advances in Complex Systems 19 (04n05), 1650012, 2016 | 15 | 2016 |
| Personalizing text-to-image generation via aesthetic gradients V Gallego NeurIPS 2022, Workshop on Machine Learning for Creativity and Design, 2022 | 14 | 2022 |
| Adversarial machine learning: Bayesian perspectives DR Insua, R Naveiro, V Gallego, J Poulos arXiv preprint arXiv:2003.03546, 2020 | 13 | 2020 |
| Variationally inferred sampling through a refined bound V Gallego, D Rios Insua Entropy 23 (1), 123, 2021 | 12* | 2021 |
| Protecting classifiers from attacks V Gallego, R Naveiro, A Redondo, D Ríos Insua, F Ruggeri Statistical Science 39 (3), 449-468, 2024 | 10* | 2024 |
| Perspectives on adversarial classification D Rios Insua, R Naveiro, V Gallego Mathematics 8 (11), 1957, 2020 | 10 | 2020 |
| Configurable safety tuning of language models with synthetic preference data V Gallego arXiv preprint arXiv:2404.00495, 2024 | 6 | 2024 |
| Refined direct preference optimization with synthetic data for behavioral alignment of llms V Gallego arXiv preprint arXiv:2402.08005, 2024 | 6 | 2024 |
| Synchronization of heteroclinic circuits through learning in chains of neural motifs VA Makarov, C Calvo, V Gallego, A Selskii IFAC-PapersOnLine 49 (14), 80-83, 2016 | 5 | 2016 |
| Distilled self-critique of llms with synthetic data: a bayesian perspective V Gallego arXiv preprint arXiv:2312.01957, 2023 | 4 | 2023 |
| Zyn: Zero-shot reward models with yes-no questions V Gallego arXiv preprint arXiv:2308.06385, 2023 | 4 | 2023 |
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