Rodrigo Echeveste
Rodrigo Echeveste
Research Institute for Signals, Systems and Computational Intelligence sinc(i) (FICH-UNL/CONICET
Verified email at - Homepage
Cited by
Cited by
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
R Echeveste, L Aitchison, G Hennequin, M Lengyel
Nature Neuroscience 23 (9), 1138–1149, 2020
Addressing fairness in artificial intelligence for medical imaging
MA Ricci Lara, R Echeveste, E Ferrante
Nature Communications 13 (1), 4581, 2022
Domain Generalization via Gradient Surgery
L Mansilla, R Echeveste, DH Milone, E Ferrante
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Generating functionals for computational intelligence: The Fisher information as an objective function for self-limiting Hebbian learning rules
R Echeveste, C Gros
Frontiers in Robotics and AI 1, 1, 2014
Energetic substrate availability regulates synchronous activity in an excitatory neural network
DS Tourigny, MKA Karim, R Echeveste, MRN Kotter, JS O’Neill
PloS one 14 (8), e0220937, 2019
Percepción sensorial en niños autistas.
RS Echeveste, I Samengo (Supervisor)
Universidad Nacional de Cuyo, 2011
The Redemption of Noise: Inference with Neural Populations
R Echeveste, M Lengyel
Trends in Neurosciences 41 (11), 767-770, 2018
EI balance emerges naturally from continuous Hebbian learning in autonomous neural networks
P Trapp, R Echeveste, C Gros
Scientific reports 8 (1), 8939, 2018
Two-trace model for spike-timing-dependent synaptic plasticity
R Echeveste, C Gros
Neural Computation 27 (3), 672-698, 2015
The Fisher Information as a Neural Guiding Principle for Independent Component Analysis
R Echeveste, S Eckmann, C Gros
Entropy 17 (6), 3838-3856, 2015
The subjective metric of remembered colors: A Fisher-information analysis of the geometry of human chromatic memory
M da Fonseca, N Vattuone, F Clavero, R Echeveste, I Samengo
PloS one 14 (1), e0207992, 2019
Drifting States and Synchronization Induced Chaos in Autonomous Networks of Excitable Neurons
R Echeveste, C Gros
Frontiers in Computational Neuroscience 10, 98, 2016
Towards Unraveling Calibration Biases in Medical Image Analysis
MA Ricci Lara, C Mosquera, E Ferrante, R Echeveste
Workshop on Clinical Image-Based Procedures, 132-141, 2023
An objective function for self-limiting neural plasticity rules.
R Echeveste, C Gros
European Symposium on Artificial Neural Networks, Computational …, 2015
Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference
R Echeveste, E Ferrante, DH Milone, I Samengo
Network Neuroscience, 1-27, 2021
Asymptotic scaling properties of the posterior mean and variance in the Gaussian scale mixture model
R Echeveste, G Hennequin, M Lengyel
arXiv preprint arXiv:1706.00925, 2017
Uncertainty in latent representations of variational autoencoders optimized for visual tasks
J Catoni, E Ferrante, DH Milone, R Echeveste
arXiv preprint arXiv:2404.15390, 2024
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Popu-lations
L Mansilla, E Claucich, R Echeveste, DH Milone, E Ferrante
Unsupervised bias discovery in medical image segmentation
N Gaggion, R Echeveste, L Mansilla, DH Milone, E Ferrante
Workshop on Clinical Image-Based Procedures, 266-275, 2023
Sesgos en problemas de regresión originados por el desbalance de datos en términos de atributos protegidos
E Claucich, E Ferrante, R Echeveste
Simposio Argentino de Inteligencia Artificial (ASAI 2022)-JAIIO 51 …, 2022
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