Rodrigo Carrasco-Davis

According to our database, Rodrigo Carrasco-Davis authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Optimal Learning Rate Schedule for Balancing Effort and Performance.

Valentina Njaradi, Rodrigo Carrasco-Davis, Peter E. Latham, Andrew M. Saxe

CoRR, January, 2026

2025

Uncertainty Prioritized Experience Replay.

Rodrigo Carrasco-Davis, Sebastian Lee, Claudia Clopath, Will Dabney

CoRR, June, 2025

Improving Mixed-Criticality Scheduling with Reinforcement Learning.

Muhammad El-Mahdy, Nourhan Sakr, Rodrigo Carrasco

CoRR, April, 2025

2024

A meta-learning framework for rationalizing cognitive fatigue in neural systems.

Yujun Li, Rodrigo Carrasco-Davis, Younes Strittmatter, Stefano Sarao Mannelli, Sebastian Musslick

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

Meta-Learning Strategies through Value Maximization in Neural Networks.

Rodrigo Carrasco-Davis, Javier Alejandro Masís, Andrew M. Saxe

CoRR, 2023

2021

The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves.

Cristobal Donoso-Oliva, Guillermo Cabrera-Vives, Pavlos Protopapas, Rodrigo Carrasco-Davis, Pablo A. Estévez

CoRR, 2021

2020

Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier.

Rodrigo Carrasco-Davis, Esteban Reyes, Camilo Valenzuela, Francisco Förster, Pablo A. Estévez, Giuliano Pignata, Franz E. Bauer, Ignacio Reyes, Paula Sánchez-Sáez, Guillermo Cabrera-Vives, Susana Eyheramendy, Márcio Catelán, Javier Arredondo, Ernesto Castillo-Navarrete, Diego Rodríguez-Mancini, Daniela Ruz-Mieres, Alberto Moya, Luis Sabatini-Gacitúa, Cristóbal Sepúlveda-Cobo, Ashish Mahabal, Javier Silva-Farfán, Ernesto Camacho-Iñiquez, Lluís Galbany

CoRR, 2020

2018

Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection.

Esteban Reyes, Pablo A. Estévez, Ignacio Reyes, Guillermo Cabrera-Vives, Pablo Huijse, Rodrigo Carrasco, Francisco Förster

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Robust period estimation using mutual information for multi-band light curves in the synoptic survey era.

Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe

CoRR, 2017