Rodrigo Veiga

Orcid: 0000-0002-6835-4871

Affiliations:
  • École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
  • Universidade de São Paulo, São Carlos, SP, Brazil (former)


According to our database1, Rodrigo Veiga authored at least 5 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves.
CoRR, February, 2025

Analysis of Diffusion Models for Manifold Data.
Proceedings of the IEEE International Symposium on Information Theory, 2025

2024
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Learning curves for the multi-class teacher-student perceptron.
Mach. Learn. Sci. Technol., March, 2023

2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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