Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data

6 June 2024

Papers citing "Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data"

6 / 6 papers shown

Title
Riemannian Patch Assignment Gradient Flows Daniel Gonzalez-Alvarado Fabio Schlindwein Jonas Cassel Laura Steingruber Stefania Petra Christoph Schnörr 21 0 0 17 Apr 2025
$α$ -Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models Chaoran Cheng Jiahan Li Jiajun Fan Ge Liu 21 0 0 14 Apr 2025
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 27 9 0 03 Oct 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds Bastian Boll Daniel Gonzalez-Alvarado Christoph Schnörr DRL 42 3 0 12 Feb 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stärk Bowen Jing Chenyu Wang Gabriele Corso Bonnie Berger Regina Barzilay Tommi Jaakkola BDL 36 45 0 08 Feb 2024
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 191 392 0 10 Feb 2021