Rodrigo Veiga
I am an Assistant Professor in the School of Mathematical Sciences at the University of Nottingham. My research lies broadly in machine learning theory, with a particular focus on high-dimensional problems at the intersection of machine learning, statistical inference, and statistical mechanics.
news
| Sep 24, 2026 | Our paper Information-Geometric Forward Policy Training in GFlowNets was accepted to the NeurIPS 2026 Main Conference. |
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| Jan 22, 2026 | Our paper Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves was accepted as a Spotlight at AISTATS 2026. |
| Sep 1, 2025 | I am glad to share that I will be starting this September as an Assistant Professor in the School of Mathematical Sciences at the University of Nottingham. |
selected publications
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Information-Geometric Forward Policy Training in GFlowNetsAccepted to the NeurIPS 2026 Main Conference. -
Denoising Score Matching with Random Features: Insights on Diffusion Models From Precise Learning CurvesIn Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, May 2026Spotlight. Republished in Journal of Statistical Mechanics: Theory and Experiment.