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Rodrigo Veiga
Rodrigo Veiga
Postdoctoral scientist, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
R Veiga, L Stephan, B Loureiro, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems 35, 23244-23255, 2022
302022
Learning curves for the multi-class teacher–student perceptron
E Cornacchia, F Mignacco, R Veiga, C Gerbelot, B Loureiro, L Zdeborová
Machine Learning: Science and Technology 4 (1), 015019, 2023
152023
Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models
R Veiga, R Vicente
arXiv preprint arXiv:2006.10176, 2020
32020
Age-structured estimation of COVID-19 ICU demand from low quality data
R Veiga, R Murta, R Vicente
arXiv preprint arXiv:2006.06530, 2020
22020
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
R Veiga, A Remizova, N Macris
arXiv preprint arXiv:2402.07626, 2024
2024
Effects of correlated hybridization in the single-impurity Anderson model
V Líbero, R Veiga
APS March Meeting Abstracts 2013, R19. 004, 2013
2013
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Articles 1–6