Generative Modeling of Discrete Data Using Geometric Latent Subspaces
stat.ML, cs.LG
Submitted: 2026-01-29
Updated: 2026-09-25
Terminology
Sources
- Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds
- Dirichlet Flow Matching with Applications to DNA Sequence Design
- Fisher Flow Matching for Generative Modeling over Discrete Data
- Categorical Flow Matching on Statistical Manifolds
- $\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
- Simplex-to-Euclidean Bijections for Categorical Flow Matching
- Rectified Flow: A Marginal Preserving Approach to Optimal Transport
- Flow Matching in Latent Space
- Efficient Flow Matching using Latent Variables
- How to build a consistency model: Learning flow maps via self-distillation
- Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
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