Víctor Gallego

27 papers A* 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cooperation and Exploitation in LLM Policy Synthesis for Sequential Social Dilemmas. CoRR Víctor Gallego
2026	J	`jnl`	Distilling Feedback into Memory-as-a-Tool. CoRR Víctor Gallego
2025	J	`jnl`	Configurable Preference Tuning with Rubric-Guided Synthetic Data. CoRR Víctor Gallego
2025	J	`jnl`	MetaSC: Test-Time Safety Specification Optimization for Language Models. CoRR Víctor Gallego
2025	J	`jnl`	Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement. CoRR Víctor Gallego
2024	J	`jnl`	Configurable Safety Tuning of Language Models with Synthetic Preference Data. CoRR Víctor Gallego
2024	—	`conf`	Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective. Tiny Papers @ ICLR Víctor Gallego
2024	J	`jnl`	Merging Improves Self-Critique Against Jailbreak Attacks. CoRR Víctor Gallego
2024	—	`conf`	Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs. LOD (1) Víctor Gallego
2024	J	`jnl`	Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs. CoRR Víctor Gallego
2023	J	`jnl`	Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective. CoRR Víctor Gallego
2023	J	`jnl`	Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and Generation. CoRR Víctor Gallego
2023	J	`jnl`	ZYN: Zero-Shot Reward Models with Yes-No Questions. CoRR Víctor Gallego
2022	J	`jnl`	How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns. CoRR Manuel Navarro-García, Daniel Precioso, Kathryn Gavira-O'Neill, Alberto Torres-Barrán, David Gordo, Víctor Gallego, David Gómez-Ullate
2022	J	`jnl`	Personalizing Text-to-Image Generation via Aesthetic Gradients. CoRR Víctor Gallego
2021	J	`jnl`	Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning. CoRR Víctor Gallego
2021	J	`jnl`	Data sharing games. CoRR Víctor Gallego, Roi Naveiro, David Ríos Insua, Wolfram Rozas
2021	J	`jnl`	Variationally Inferred Sampling through a Refined Bound. Entropy Víctor Gallego, David Ríos Insua
2020	J	`jnl`	Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. CoRR David Ríos Insua, Roi Naveiro, Víctor Gallego, Jason Poulos
2020	J	`jnl`	Adversarial Risk Analysis (Overview). CoRR David Banks, Víctor Gallego, Roi Naveiro, David Ríos Insua
2020	J	`jnl`	Protecting Classifiers From Attacks. A Bayesian Approach. CoRR Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri
2019	J	`jnl`	Opponent Aware Reinforcement Learning. CoRR Víctor Gallego, Roi Naveiro, David Ríos Insua, David Gómez-Ullate
2019	A*	`conf`	Reinforcement Learning under Threats. AAAI Víctor Gallego, Roi Naveiro, David Ríos Insua
2019	J	`jnl`	Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs. CoRR Víctor Gallego, David Ríos Insua
2018	J	`jnl`	Reinforcement Learning under Threats. CoRR Víctor Gallego, Roi Naveiro, David Ríos Insua
2018	J	`jnl`	Stochastic Gradient MCMC with Repulsive Forces. CoRR Víctor Gallego, David Ríos Insua
2016	J	`jnl`	Waves in isotropic Totalistic Cellular Automata: Application to Real-Time robot Navigation. Adv. Complex Syst. Carlos Calvo, José Antonio Villacorta-Atienza, V. I. Mironov, Víctor Gallego, Valeri A. Makarov