Semi-Discrete Normalizing Flows through Differentiable Tessellation

14 March 2022

Papers citing "Semi-Discrete Normalizing Flows through Differentiable Tessellation"

11 / 11 papers shown

Title
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data Bastian Boll Daniel Gonzalez-Alvarado Stefania Petra Christoph Schnörr 44 4 0 06 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 36 2 0 02 Jun 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds Bastian Boll Daniel Gonzalez-Alvarado Christoph Schnörr DRL 45 4 0 12 Feb 2024
A Method for Auto-Differentiation of the Voronoi Tessellation Sergei Shumilin Alexander Ryabov Serguei Barannikov Evgeny Burnaev Vladimir Vanovskiý 14 2 0 22 Dec 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 18 22 0 02 Oct 2023
Mixed Variational Flows for Discrete Variables Gian Carlo Diluvi Benjamin Bloem-Reddy Trevor Campbell 38 0 0 29 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Piecewise Normalizing Flows H. Bevins Will Handley Thomas Gessey-Jones 29 0 0 04 May 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case Aram-Alexandre Pooladian Vincent Divol Jonathan Niles-Weed OT 25 20 0 26 Jan 2023
Latent Discretization for Continuous-time Sequence Compression Ricky T. Q. Chen Matt Le Matthew Muckley Maximilian Nickel Karen Ullrich 19 0 0 28 Dec 2022
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,123 0 25 Jul 2012