Víctor Gallego

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Bayesian Inference

Reinforcement Learning

Cellular Automata

Top Venues

Adv. Complex Syst.

Tiny Papers @ ICLR

Publications

Víctor Gallego
Merging Improves Self-Critique Against Jailbreak Attacks. CoRR (2024)
Víctor Gallego
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective. Tiny Papers @ ICLR (2024)
Víctor Gallego
Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs. CoRR (2024)
Víctor Gallego
Configurable Safety Tuning of Language Models with Synthetic Preference Data. CoRR (2024)
Víctor Gallego
ZYN: Zero-Shot Reward Models with Yes-No Questions. CoRR (2023)
Víctor Gallego
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective. CoRR (2023)
Víctor Gallego
Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and Generation. CoRR (2023)
Víctor Gallego
Personalizing Text-to-Image Generation via Aesthetic Gradients. CoRR (2022)
Manuel Navarro-García, Daniel Precioso, Kathryn Gavira-O'Neill, Alberto Torres-Barrán, David Gordo, Víctor Gallego, David Gómez-Ullate
How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns. CoRR (2022)
Víctor Gallego, Roi Naveiro, David Ríos Insua, Wolfram Rozas
Data sharing games. CoRR (2021)
Víctor Gallego, David Ríos Insua
Variationally Inferred Sampling through a Refined Bound. Entropy 23 (1) (2021)
Víctor Gallego
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning. CoRR (2021)
David Ríos Insua, Roi Naveiro, Víctor Gallego, Jason Poulos
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. CoRR (2020)
David Banks, Víctor Gallego, Roi Naveiro, David Ríos Insua
Adversarial Risk Analysis (Overview). CoRR (2020)
Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri
Protecting Classifiers From Attacks. A Bayesian Approach. CoRR (2020)
Víctor Gallego, Roi Naveiro, David Ríos Insua, David Gómez-Ullate
Opponent Aware Reinforcement Learning. CoRR (2019)
Víctor Gallego, David Ríos Insua
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs. CoRR (2019)
Víctor Gallego, Roi Naveiro, David Ríos Insua
Reinforcement Learning under Threats. AAAI (2019)
Víctor Gallego, David Ríos Insua
Stochastic Gradient MCMC with Repulsive Forces. CoRR (2018)
Víctor Gallego, Roi Naveiro, David Ríos Insua
Reinforcement Learning under Threats. CoRR (2018)
Carlos Calvo, José Antonio Villacorta-Atienza, V. I. Mironov, Víctor Gallego, Valeri A. Makarov
Waves in isotropic Totalistic Cellular Automata: Application to Real-Time robot Navigation. Adv. Complex Syst. 19 (4-5) (2016)