Rodrigo Echeveste

20 papers A* 1B 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
BM-CL: Bias Mitigation through the lens of Continual Learning.
CoRR
Lucas Mansilla, Rodrigo Echeveste, Camila González, Diego H. Milone, Enzo Ferrante
2025 J jnl
CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images.
CoRR
Matias Cosarinsky, Nicolás Gaggion, Rodrigo Echeveste, Enzo Ferrante
2025 — conf
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation.
FAccT
Estanislao Claucich, Sara Hooker, Diego H. Milone, Enzo Ferrante, Rodrigo Echeveste
2025 J jnl
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation.
CoRR
Estanislao Claucich, Sara Hooker, Diego H. Milone, Enzo Ferrante, Rodrigo Echeveste
2024 J jnl
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations.
Trans. Mach. Learn. Res.
Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2024 J jnl
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications.
CoRR
Enzo Ferrante, Rodrigo Echeveste
2024 J jnl
Uncertainty in latent representations of variational autoencoders optimized for visual tasks.
CoRR
Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste
2023 — conf
Towards Unraveling Calibration Biases in Medical Image Analysis.
CLIP/FAIMI/EPIMI@MICCAI
María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
2023 J jnl
Towards unraveling calibration biases in medical image analysis.
CoRR
María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
2023 — conf
Unsupervised Bias Discovery in Medical Image Segmentation.
CLIP/FAIMI/EPIMI@MICCAI
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2023 J jnl
Unsupervised bias discovery in medical image segmentation.
CoRR
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2021 A* conf
Domain Generalization via Gradient Surgery.
ICCV
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2021 J jnl
Domain Generalization via Gradient Surgery.
CoRR
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2016 J jnl
Drifting States and Synchronization Induced Chaos in Autonomous Networks of Excitable Neurons.
Frontiers Comput. Neurosci.
Rodrigo Echeveste, Claudius Gros
2015 B conf
An objective function for self-limiting neural plasticity rules.
ESANN
Rodrigo Echeveste, Claudius Gros
2015 J jnl
Corrigendum: Generating Functionals for Computational Intelligence: The Fisher Information as an Objective Function for Self-Limiting Hebbian Learning Rules.
Frontiers Robotics AI
Rodrigo Echeveste, Claudius Gros
2015 J jnl
The Fisher Information as a Neural Guiding Principle for Independent Component Analysis.
Entropy
Rodrigo Echeveste, Samuel Eckmann, Claudius Gros
2015 J jnl
Two-Trace Model for Spike-Timing-Dependent Synaptic Plasticity.
Neural Comput.
Rodrigo Echeveste, Claudius Gros
2014 J jnl
Generating Functionals for Computational Intelligence: The Fisher Information as an Objective Function for Self-Limiting Hebbian Learning Rules.
Frontiers Robotics AI
Rodrigo Echeveste, Claudius Gros
2014 J jnl
Generating functionals for computational intelligence: the Fisher information as an objective function for self-limiting Hebbian learning rules.
CoRR
Rodrigo Echeveste, Claudius Gros