Rodrigo Echeveste

According to our database, Rodrigo Echeveste authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations.

Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

Trans. Mach. Learn. Res., 2024

Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications.

Enzo Ferrante, Rodrigo Echeveste

CoRR, 2024

Uncertainty in latent representations of variational autoencoders optimized for visual tasks.

Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste

CoRR, 2024

2023

Towards Unraveling Calibration Biases in Medical Image Analysis.

María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Unsupervised Bias Discovery in Medical Image Segmentation.

Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2021

Domain Generalization via Gradient Surgery.

Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2016

Drifting States and Synchronization Induced Chaos in Autonomous Networks of Excitable Neurons.

Rodrigo Echeveste, Claudius Gros

Frontiers Comput. Neurosci., 2016

2015

Two-Trace Model for Spike-Timing-Dependent Synaptic Plasticity.

Rodrigo Echeveste, Claudius Gros

Neural Comput., 2015

Corrigendum: Generating Functionals for Computational Intelligence: The Fisher Information as an Objective Function for Self-Limiting Hebbian Learning Rules.

Rodrigo Echeveste, Claudius Gros

Frontiers Robotics AI, 2015

The Fisher Information as a Neural Guiding Principle for Independent Component Analysis.

Rodrigo Echeveste, Samuel Eckmann, Claudius Gros

Entropy, 2015

An objective function for self-limiting neural plasticity rules.

Rodrigo Echeveste, Claudius Gros

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Generating Functionals for Computational Intelligence: The Fisher Information as an Objective Function for Self-Limiting Hebbian Learning Rules.

Rodrigo Echeveste, Claudius Gros

Frontiers Robotics AI, 2014