Metric Flow Matching for Smooth Interpolations on the Data Manifold
Fuente:
arXiv
Saved in:
| Main Authors: | Kapuśniak, Kacper, Potaptchik, Peter, Reu, Teodora, Zhang, Leo, Tong, Alexander, Bronstein, Michael, Bose, Avishek Joey, Di Giovanni, Francesco |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Curly Flow Matching for Learning Non-gradient Field Dynamics
by: Petrović, Katarina, et al.
Published: (2025)
by: Petrović, Katarina, et al.
Published: (2025)
MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
by: Kapuśniak, Kacper, et al.
Published: (2025)
by: Kapuśniak, Kacper, et al.
Published: (2025)
Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
by: Reu, Teodora, et al.
Published: (2025)
by: Reu, Teodora, et al.
Published: (2025)
Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds
by: Davis, Oscar, et al.
Published: (2025)
by: Davis, Oscar, et al.
Published: (2025)
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models
by: Vargas, Francisco, et al.
Published: (2023)
by: Vargas, Francisco, et al.
Published: (2023)
Fisher Flow Matching for Generative Modeling over Discrete Data
by: Davis, Oscar, et al.
Published: (2024)
by: Davis, Oscar, et al.
Published: (2024)
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
by: Rehman, Danyal, et al.
Published: (2025)
by: Rehman, Danyal, et al.
Published: (2025)
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
by: Bose, Avishek Joey, et al.
Published: (2023)
by: Bose, Avishek Joey, et al.
Published: (2023)
Aligning Flow Map Policies with Optimal Q-Guidance
by: Ziakas, Christos, et al.
Published: (2026)
by: Ziakas, Christos, et al.
Published: (2026)
RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis
by: Yadav, Robin, et al.
Published: (2025)
by: Yadav, Robin, et al.
Published: (2025)
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
by: Tan, Charlie B., et al.
Published: (2025)
by: Tan, Charlie B., et al.
Published: (2025)
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
by: Huguet, Guillaume, et al.
Published: (2024)
by: Huguet, Guillaume, et al.
Published: (2024)
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
by: Farghly, Tyler, et al.
Published: (2025)
by: Farghly, Tyler, et al.
Published: (2025)
Tilt Matching for Scalable Sampling and Fine-Tuning
by: Potaptchik, Peter, et al.
Published: (2025)
by: Potaptchik, Peter, et al.
Published: (2025)
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
by: Potaptchik, Peter, et al.
Published: (2024)
by: Potaptchik, Peter, et al.
Published: (2024)
Coupling Models for One-Step Discrete Generation
by: Peng, Fred Zhangzhi, et al.
Published: (2026)
by: Peng, Fred Zhangzhi, et al.
Published: (2026)
The Superposition of Diffusion Models Using the Itô Density Estimator
by: Skreta, Marta, et al.
Published: (2024)
by: Skreta, Marta, et al.
Published: (2024)
Planner Aware Path Learning in Diffusion Language Models Training
by: Peng, Fred Zhangzhi, et al.
Published: (2025)
by: Peng, Fred Zhangzhi, et al.
Published: (2025)
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
by: Howard, Samuel, et al.
Published: (2025)
by: Howard, Samuel, et al.
Published: (2025)
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
by: Atanackovic, Lazar, et al.
Published: (2024)
by: Atanackovic, Lazar, et al.
Published: (2024)
Discrete Tilt Matching
by: Chen, Yuyuan, et al.
Published: (2026)
by: Chen, Yuyuan, et al.
Published: (2026)
On the Stability of Iterative Retraining of Generative Models on their own Data
by: Bertrand, Quentin, et al.
Published: (2023)
by: Bertrand, Quentin, et al.
Published: (2023)
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
by: Ferbach, Damien, et al.
Published: (2024)
by: Ferbach, Damien, et al.
Published: (2024)
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
by: Akhound-Sadegh, Tara, et al.
Published: (2025)
by: Akhound-Sadegh, Tara, et al.
Published: (2025)
Discrete Flow Maps
by: Potaptchik, Peter, et al.
Published: (2026)
by: Potaptchik, Peter, et al.
Published: (2026)
Smooth Flow Matching for Synthesizing Functional Data
by: Tan, Jianbin, et al.
Published: (2025)
by: Tan, Jianbin, et al.
Published: (2025)
Pullback Flow Matching on Data Manifolds
by: de Kruiff, Friso, et al.
Published: (2024)
by: de Kruiff, Friso, et al.
Published: (2024)
A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
by: Gomez, Alvaro Almeida
Published: (2025)
by: Gomez, Alvaro Almeida
Published: (2025)
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
by: Rector-Brooks, Jarrid, et al.
Published: (2024)
by: Rector-Brooks, Jarrid, et al.
Published: (2024)
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction
by: Bose, Avishek, et al.
Published: (2024)
by: Bose, Avishek, et al.
Published: (2024)
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
by: Akhound-Sadegh, Tara, et al.
Published: (2024)
by: Akhound-Sadegh, Tara, et al.
Published: (2024)
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
by: Southern, Joshua, et al.
Published: (2024)
by: Southern, Joshua, et al.
Published: (2024)
Relaxed Equivariance via Multitask Learning
by: Elhag, Ahmed A., et al.
Published: (2024)
by: Elhag, Ahmed A., et al.
Published: (2024)
Meta Flow Maps enable scalable reward alignment
by: Potaptchik, Peter, et al.
Published: (2026)
by: Potaptchik, Peter, et al.
Published: (2026)
Locality-Aware Graph-Rewiring in GNNs
by: Barbero, Federico, et al.
Published: (2023)
by: Barbero, Federico, et al.
Published: (2023)
Categorical Flow Matching on Statistical Manifolds
by: Cheng, Chaoran, et al.
Published: (2024)
by: Cheng, Chaoran, et al.
Published: (2024)
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
by: Jin, Emily, et al.
Published: (2025)
by: Jin, Emily, et al.
Published: (2025)
Residual Deep Gaussian Processes on Manifolds
by: Wyrwal, Kacper, et al.
Published: (2024)
by: Wyrwal, Kacper, et al.
Published: (2024)
DFM: Interpolant-free Dual Flow Matching
by: Gudovskiy, Denis, et al.
Published: (2024)
by: Gudovskiy, Denis, et al.
Published: (2024)
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
by: Kviman, Oskar, et al.
Published: (2025)
by: Kviman, Oskar, et al.
Published: (2025)
Similar Items
-
Curly Flow Matching for Learning Non-gradient Field Dynamics
by: Petrović, Katarina, et al.
Published: (2025) -
MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
by: Kapuśniak, Kacper, et al.
Published: (2025) -
Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
by: Reu, Teodora, et al.
Published: (2025) -
Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds
by: Davis, Oscar, et al.
Published: (2025) -
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models
by: Vargas, Francisco, et al.
Published: (2023)