Rodrigo Veiga

Laboratoire d'Informatique Fondamentale de Lille — France

Computer Science · Physical Sciences

3h-index36citations9works0.32yr avg
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Research Topics

Neural Networks and Applications(8), Stochastic Gradient Optimization Techniques(3), Soil Geostatistics and Mapping(2), Control Systems and Identification(2), Machine Learning and ELM(2)

Publications9 total

Analysis of Diffusion Models for Manifold Data
2025
Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves
arXiv (Cornell University)·2025Open Access
Analysis of Diffusion Models for Manifold Data
ArXiv.org·2025· 1 citedOpen Access
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
arXiv (Cornell University)·2024Open Access
Phase diagram of stochastic gradient descent in high-dimensional two-layer neural networks <sup>*</sup>
Journal of Statistical Mechanics Theory and Experiment·2023· 6 citedOpen Access
Learning curves for the multi-class teacher–student perceptron
Machine Learning Science and Technology·2023· 16 citedOpen Access
Learning curves for the multi-class teacher-student perceptron
arXiv (Cornell University)·2022· 2 citedOpen Access
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
arXiv (Cornell University)·2022· 10 citedOpen Access
Restricted Boltzmann Machine Flows and The Critical Temperature of Ising\n models
arXiv (Cornell University)·2020· 1 citedOpen Access

Frequent Co-authors

Bruno Loureiro(4), Lenka Zdeborová(4), Nicolas Macris(4), Anand Jerry George(3), Elisabetta Cornacchia(2), Francesca Mignacco(2), Cédric Gerbelot(2), Ludovic Stephan(2), Florent Krząkała(2), Renato Vicente(1), Anastasia Remizova(1)