Specification Mining for Smart Contracts with Automatic Abstraction Tuning. - Florentin Guth; Valentin Wüstholz; Maria Christakis; Peter Müller 001 (CoRR, 2018)

Separation and Concentration in Deep Networks. - John Zarka; Florentin Guth; Stéphane Mallat (ICLR, 2021)

Phase Collapse in Neural Networks. - Florentin Guth; John Zarka; Stéphane Mallat (ICLR, 2022)

Wavelet Score-Based Generative Modeling. - Florentin Guth; Simon Coste; Valentin De Bortoli; Stéphane Mallat (NeurIPS, 2022)

Learning multi-scale local conditional probability models of images. - Zahra Kadkhodaie; Florentin Guth; Stéphane Mallat; Eero P. Simoncelli (ICLR, 2023)

Conditionally Strongly Log-Concave Generative Models. - Florentin Guth; Etienne Lempereur; Joan Bruna; Stéphane Mallat (ICML, 2023)

A Rainbow in Deep Network Black Boxes. - Florentin Guth; Brice Ménard; Gaspar Rochette; Stéphane Mallat (CoRR, 2023)

Generalization in diffusion models arises from geometry-adaptive harmonic representation. - Zahra Kadkhodaie; Florentin Guth; Eero P. Simoncelli; Stéphane Mallat (CoRR, 2023)

Generalization in diffusion models arises from geometry-adaptive harmonic representations. - Zahra Kadkhodaie; Florentin Guth; Eero P. Simoncelli; Stéphane Mallat (ICLR, 2024)

On the universality of neural encodings in CNNs. - Florentin Guth; Brice Ménard (CoRR, 2024)

Classification-Denoising Networks. - Louis Thiry; Florentin Guth (CoRR, 2024)

Learning normalized image densities via dual score matching. - Florentin Guth; Zahra Kadkhodaie; Eero P. Simoncelli (CoRR, 2025)