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Research Staff

Florentin Guth, Ph.D.

Flatiron Research Fellow, Center for Computational Neuroscience

Affiliations
  • Faculty Fellow, Center for Data Science, New York University

Bio

Florentin Guth is a Flatiron Research Fellow in the Center for Computational Neuroscience (CCN) and a Faculty Fellow in the Center for Data Science at New York University. He previously completed his Ph.D. at École Normale Supérieure in Paris under the supervision of Stéphane Mallat. His main research interests are to develop a scientific theory of deep learning, mathematical models of image distributions, and understanding how to leverage structure in real-world data to escape the curse of dimensionality.

Publications

Learning Normalized Energy Models for Linear Inverse Problems

arXiv:2605.15487, May 15, 2026

Nicolas Zilberstein, Santiago Segarra, Eero P. Simoncelli, and Florentin Guth

There Will Be a Scientific Theory of Deep Learning

arXiv:2604.21691, April 23, 2026

Jamie Simon, Daniel Kunin, Alexander Atanasov, Enric Boix-Adser`, Blake Bordelon, Jeremy Cohen, et al.

Learning a distance measure from the information-estimation geometry of data

International Conference on Learning Representations (ICLR), arXiv:2510.02514, February 26, 2026

Guy Ohayon, Pierre-Étienne Fiquet, Florentin Guth, Jona Ballé, and Eero P. Simoncelli

Learning normalized image densities via dual score matching

Adv. Neural Information Processing (NeurIPS), arXiv:2506.05310, January 15, 2026

Florentin Guth, Zahra Kadkhodaie, and Eero P. Simoncelli

Featuring Florentin Guth

CCM and CCN Researchers Awarded Outstanding Paper Award at the International Conference on Learning Representations

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Center for Computational Neuroscience

Understanding the human brain is one of the greatest and most challenging scientific frontiers of our time. CCN’s mission is to develop models, principles and conceptual frameworks that deepen our knowledge of brain function — both in health and in disease.

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