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08/11/2023
ZYN: Zero-Shot Reward Models with Yes-No Questions
In this work, we address the problem of directing the text generations o...
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09/25/2022
Personalizing Text-to-Image Generation via Aesthetic Gradients
This work proposes aesthetic gradients, a method to personalize a CLIP-c...
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07/14/2022
How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns
Based on the data gathered by echo-sounder buoys attached to drifting Fi...
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09/25/2021
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning
The rampant adoption of ML methodologies has revealed that models are us...
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01/26/2021
Data sharing games
Data sharing issues pervade online social and economic environments. To ...
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07/06/2020
Adversarial Risk Analysis (Overview)
Adversarial risk analysis (ARA) is a relatively new area of research tha...
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04/18/2020
Protecting Classifiers From Attacks. A Bayesian Approach
Classification problems in security settings are usually modeled as conf...
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03/07/2020
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis
Adversarial Machine Learning (AML) is emerging as a major field aimed at...
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08/26/2019
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
A framework to boost efficiency of Bayesian inference in probabilistic p...
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08/22/2019
Opponent Aware Reinforcement Learning
In several reinforcement learning (RL) scenarios such as security settin...
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11/30/2018
Stochastic Gradient MCMC with Repulsive Forces
We propose a unifying view of two different families of Bayesian inferen...
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09/05/2018
Reinforcement Learning under Threats
In several reinforcement learning (RL) scenarios, mainly in security set...
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01/09/2018