Florentin Guth

According to our database, Florentin Guth authored at least 16 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Normalized Energy Models for Linear Inverse Problems.

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

CoRR, May, 2026

There Will Be a Scientific Theory of Deep Learning.

Jamie Simon, Daniel Kunin, Alexander B. Atanasov, Enric Boix-Adserà, Blake Bordelon, Jeremy Cohen, Nikhil Ghosh, Florentin Guth, Arthur Jacot, Mason Kamb, Dhruva Karkada, Eric J. Michaud, Berkan Ottlik, Joseph Turnbull

CoRR, April, 2026

2025

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

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

CoRR, October, 2025

Learning normalized image densities via dual score matching.

Florentin Guth, Zahra Kadkhodaie, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

A Rainbow in Deep Network Black Boxes.

Florentin Guth, Brice Ménard, Gaspar Rochette, Stéphane Mallat

J. Mach. Learn. Res., 2024

Classification-Denoising Networks.

Louis Thiry, Florentin Guth

CoRR, 2024

On the universality of neural encodings in CNNs.

Florentin Guth, Brice Ménard

CoRR, 2024

Generalization in diffusion models arises from geometry-adaptive harmonic representations.

Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards a mathematical understanding of deep convolutional neural networks. (Vers une compréhension mathématique des réseaux de neurones convolutifs profonds).

Florentin Guth

PhD thesis, 2023

Generalization in diffusion models arises from geometry-adaptive harmonic representation.

Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat

CoRR, 2023

Conditionally Strongly Log-Concave Generative Models.

Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat

Proceedings of the International Conference on Machine Learning, 2023

Learning multi-scale local conditional probability models of images.

Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Wavelet Score-Based Generative Modeling.

Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Phase Collapse in Neural Networks.

Florentin Guth, John Zarka, Stéphane Mallat

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Separation and Concentration in Deep Networks.

John Zarka, Florentin Guth, Stéphane Mallat

Proceedings of the 9th International Conference on Learning Representations, 2021

2018

Specification Mining for Smart Contracts with Automatic Abstraction Tuning.

Florentin Guth, Valentin Wüstholz, Maria Christakis, Peter Müller

CoRR, 2018