https://arxiv.org/abs/2210.02747
[2210.02747] Flow Matching for Generative Modeling
Abstract page for arXiv paper 2210.02747: Flow Matching for Generative Modeling
flow matchinggenerativemodeling
https://openreview.net/forum?id=HpIxllcNtb
MoGen: Detailed Neuronal Morphology Generation via Point Cloud Flow Matching | OpenReview
Biological neurons come in many shapes. High-fidelity generative modeling of their varied morphologies is challenging yet underexplored in neuroscience, and...
point cloudflow matchingmogendetailedmorphology
https://proceedings.mlr.press/v235/zhu24g.html
Switched Flow Matching: Eliminating Singularities via Switching ODEs
Jul 8, 2024 - Switched Flow Matching: Eliminating Singularities via Switching ODEsQunxi Zhu, Wei LinContinuous-time generative models, such as Flow Matching (FM), con...
flow matchingswitchedsingularitiesviaswitching
https://proceedings.neurips.cc/paper_files/paper/2025/hash/10b7e27c8eb9571fbbd2ae6a9f8c3855-Abstract-Conference.html
Value Gradient Guidance for Flow Matching Alignment
for flowvaluegradientguidancematching
https://arxiv.org/abs/2506.02070
[2506.02070] An Introduction to Flow Matching and Diffusion Models
Abstract page for arXiv paper 2506.02070: An Introduction to Flow Matching and Diffusion Models
an introductionflow matchingdiffusionmodels
https://bioengineer.org/revamping-atomic-transport-simulation-with-flow-matching-2/
Revamping Atomic Transport Simulation with Flow Matching - BIOENGINEER.ORG
flow matchingrevampingatomictransportsimulation
https://tech.preferred.jp/en/publications/flow-matching-achieves-almost-minimax-optimal-convergence/
Flow matching achieves almost minimax optimal convergence - Preferred Networks Tech Blog
Flow matching (FM) has gained significant attention as a simulation-free generative model. Unlike diffusion models, which are based on stochastic
flow matchingpreferred networksalmostminimax
https://papers.neurips.cc/paper_files/paper/2025/hash/13f1750b825659394a6499399e7637fc-Abstract-Conference.html
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
density functional theoryflow matchinghighorder
https://arxiv.org/abs/2406.07507
[2406.07507] Flow map matching with stochastic interpolants: A mathematical framework for...
Abstract page for arXiv paper 2406.07507: Flow map matching with stochastic interpolants: A mathematical framework for consistency models
flow map matching
https://diffusionflow.github.io/
Diffusion Meets Flow Matching
diffusionmeetsflowmatching
https://arxiv.org/abs/2406.07507v2
[2406.07507v2] Flow map matching with stochastic interpolants: A mathematical framework for...
Abstract page for arXiv paper 2406.07507v2: Flow map matching with stochastic interpolants: A mathematical framework for consistency models
flow map matching
https://scholars.lib.ntu.edu.tw/entities/publication/2dbce29c-8d5c-4cde-bc01-5c8edd0f61ec
Training Energy-Based Normalizing Flow with Score-Matching Objectives
trainingenergybasednormalizingflow
https://uwspace.uwaterloo.ca/items/63b940b7-6093-4b3f-8119-3bead75a1355
Associative Memory for Hyperdimensional Spatial Representations with Geodesic Flow Matching
The ability to recover clean patterns from noisy or partial inputs, known as Associative memory, is a cornerstone of robust computation in both biological and...
associativememoryspatialrepresentationsgeodesic