Victor Gallego
Victor Gallego
Komorebi AI & ICMAT-CSIC (also as Víctor Gallego-Alcalá)
Verified email at - Homepage
Cited by
Cited by
Reinforcement learning under threats
V Gallego, R Naveiro, DR Insua
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9939-9940, 2019
Stochastic Gradient MCMC with Repulsive Forces
V Gallego, DR Insua
NIPS Workshop on Bayesian Deep Learning, 2018
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
Variationally inferred sampling through a refined bound
V Gallego, D Ríos Insua
Entropy 23 (1), 123, 2021
Opponent Aware Reinforcement Learning
V Gallego, R Naveiro, DR Insua, D Gómez-Ullate
arXiv preprint arXiv:1908.08773, 2019
Adversarial machine learning: Perspectives from adversarial risk analysis
DR Insua, R Naveiro, V Gallego, J Poulos
arXiv preprint arXiv:2003.03546, 2020
Assessing the effect of advertising expenditures upon sales: a Bayesian structural time series model
V Gallego, P Angulo, P Suárez-García, D Gómez-Ullate
Applied Stochastic Models in Business and Industry, 1-13, 2019
Adversarial risk analysis: An overview
D Banks, V Gallego, R Naveiro, D Ríos Insua
Wiley Interdisciplinary Reviews: Computational Statistics 14 (1), e1530, 2022
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
Protecting classifiers from attacks. a bayesian approach
V Gallego, R Naveiro, A Redondo, DR Insua, F Ruggeri
arXiv preprint arXiv:2004.08705, 2020
Perspectives on Adversarial Classification
D Rios Insua, R Naveiro, V Gallego
Mathematics 8 (11), 1957, 2020
AI in drug development: a multidisciplinary perspective.
V Gallego, R Naveiro, C Roca, D Rios Insua, NE Campillo
Molecular Diversity, 2021
Data sharing games
V Gallego, R Naveiro, DR Insua, W Rozas
arXiv preprint arXiv:2101.10721, 2021
Multiagent systems
N Osman, D López Castro, V Gallego, D Ríos Insua, M San Miguel, ...
Editorial CSIC, 2021
Bayesian Factorization Machines for Risk Management and Robust Decision Making
P Angulo, V Gallego, D Gómez-Ullate, P Suárez-García
Mathematical and Statistical Methods for Actuarial Sciences and Finance, 51-55, 2018
Learning connectivity structure in a chain of network motifs
C Calvo, V Gallego, A Selskii, VA Makarov
Advanced Science Letters 22 (10), 2647-2651, 2016
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
Current Advances in Neural Networks
V Gallego, D Ríos Insua
Annual Review of Statistics and Its Application 9, 2022
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning
V Gallego
arXiv preprint arXiv:2109.13232, 2021
Aggregation Times of Tuna Schools to FADs Estimated by Echosounder Data
M Navarro-García, D Precioso, K Gavira-O’Neill, A Torres-Barrán, ...
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