papers

Publications (10)

physics.bio-ph2002

Robustness and Enhancement of Neural Synchronization by Activity-Dependent Coupling

Valentin P. Zhigulin, Mikhail I. Rabinovich, Ramon Huerta +1

We study the synchronization of two model neurons coupled through a synapse having an activity-dependent strength. Our synapse follows the rules of Spike-Timing Dependent Plasticit…

q-bio.PE2017

Task allocation and site fidelity jointly influence foraging regulation in honey bee colonies

Thiago Mosqueiro, Chelsea Cook, Ramon Huerta +3

Variation in behavior among group members often impacts collective outcomes. Individuals may vary both in the task that they perform and in the persistence with which they perform…

nlin.CG2008

A housing-demographic multi-layered nonlinear model to test regulation strategies

Ramon Huerta, Fernando Corbacho, Luis F. Lago-Fernandez

We propose a novel multi-layered nonlinear model that is able to capture and predict the housing-demographic dynamics of the real-state market by simulating the transitions of owne…

physics.data-an2016

Online Decorrelation of Humidity and Temperature in Chemical Sensors for Continuous Monitoring

Ramon Huerta, Thiago S. Mosqueiro, Jordi Fonollosa +2

A method for online decorrelation of chemical sensor signals from the effects of environmental humidity and temperature variations is proposed. The goal is to improve the accuracy…

cs.CL2024

UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models

Yijiang River Dong, Hongzhou Lin, Mikhail Belkin +2

Mitigating the retention of sensitive or private information in large language models is essential for enhancing privacy and safety. Existing unlearning methods, like Gradient Asce…

econ.GN2026

Hedonic Prices and Quality Adjusted Price Indices Powered by AI

Patrick Bajari, Zhihao Cen, Victor Chernozhukov +8

We develop empirical models that efficiently process large amounts of unstructured product data (text, images, prices, quantities) to produce accurate hedonic price estimates and d…