Expected Batch Optimal Transport Plans and Consequences for Flow Matching
Fuente:
arXiv
Guardado en:
| Autores principales: | Boïté, Samuel, Delon, Julie, Nadjahi, Kimia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
por: Boïté, Samuel, et al.
Publicado: (2025)
por: Boïté, Samuel, et al.
Publicado: (2025)
On the Relation between Rectified Flows and Optimal Transport
por: Hertrich, Johannes, et al.
Publicado: (2025)
por: Hertrich, Johannes, et al.
Publicado: (2025)
A User's Guide to Sampling Strategies for Sliced Optimal Transport
por: Sisouk, Keanu, et al.
Publicado: (2025)
por: Sisouk, Keanu, et al.
Publicado: (2025)
Convergence Rates for Distribution Matching with Sliced Optimal Transport
por: Thurin, Gauthier, et al.
Publicado: (2026)
por: Thurin, Gauthier, et al.
Publicado: (2026)
Optimal Transport-based Conformal Prediction
por: Thurin, Gauthier, et al.
Publicado: (2025)
por: Thurin, Gauthier, et al.
Publicado: (2025)
Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans
por: Wald, Christian, et al.
Publicado: (2025)
por: Wald, Christian, et al.
Publicado: (2025)
Properties of Discrete Sliced Wasserstein Losses
por: Tanguy, Eloi, et al.
Publicado: (2023)
por: Tanguy, Eloi, et al.
Publicado: (2023)
Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
por: Piening, Moritz, et al.
Publicado: (2026)
por: Piening, Moritz, et al.
Publicado: (2026)
Tessellations of Semi-Discrete Flow Matching
por: Pierret, Emile, et al.
Publicado: (2026)
por: Pierret, Emile, et al.
Publicado: (2026)
Slicing Unbalanced Optimal Transport
por: Bonet, Clément, et al.
Publicado: (2023)
por: Bonet, Clément, et al.
Publicado: (2023)
Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance
por: Tanguy, Eloi, et al.
Publicado: (2023)
por: Tanguy, Eloi, et al.
Publicado: (2023)
On The Hidden Biases of Flow Matching Samplers
por: Lim, Soon Hoe
Publicado: (2025)
por: Lim, Soon Hoe
Publicado: (2025)
Theoretical guarantees in KL for Diffusion Flow Matching
por: Silveri, Marta Gentiloni, et al.
Publicado: (2024)
por: Silveri, Marta Gentiloni, et al.
Publicado: (2024)
Computing Barycentres of Measures for Generic Transport Costs
por: Tanguy, Eloi, et al.
Publicado: (2024)
por: Tanguy, Eloi, et al.
Publicado: (2024)
Recent Advances in Optimal Transport for Machine Learning
por: Montesuma, Eduardo Fernandes, et al.
Publicado: (2023)
por: Montesuma, Eduardo Fernandes, et al.
Publicado: (2023)
Batch normalization does not improve initialization
por: Dannemann, Joris, et al.
Publicado: (2025)
por: Dannemann, Joris, et al.
Publicado: (2025)
Dissimilar Batch Decompositions of Random Datasets
por: Ganesan, Ghurumuruhan
Publicado: (2025)
por: Ganesan, Ghurumuruhan
Publicado: (2025)
Optimal Transport-Based Domain Adaptation for Rotated Linear Regression
por: Britos, Brian, et al.
Publicado: (2025)
por: Britos, Brian, et al.
Publicado: (2025)
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
por: Sefidgaran, Milad, et al.
Publicado: (2025)
por: Sefidgaran, Milad, et al.
Publicado: (2025)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
por: Ponnoprat, Donlapark, et al.
Publicado: (2026)
por: Ponnoprat, Donlapark, et al.
Publicado: (2026)
Learning with Expected Signatures: Theory and Applications
por: Lucchese, Lorenzo, et al.
Publicado: (2025)
por: Lucchese, Lorenzo, et al.
Publicado: (2025)
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning
por: de Lara, Lucas, et al.
Publicado: (2024)
por: de Lara, Lucas, et al.
Publicado: (2024)
The Partition Principle Revisited: Non-Equal Volume Designs Achieve Minimal Expected Star Discrepancy
por: Xu, Xiaoda
Publicado: (2026)
por: Xu, Xiaoda
Publicado: (2026)
Optimal Transportation and Alignment Between Gaussian Measures
por: Dandapanthula, Sanjit, et al.
Publicado: (2025)
por: Dandapanthula, Sanjit, et al.
Publicado: (2025)
Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes
por: Chhaibi, Reda, et al.
Publicado: (2025)
por: Chhaibi, Reda, et al.
Publicado: (2025)
Stochastic Optimal Control Matching
por: Domingo-Enrich, Carles, et al.
Publicado: (2023)
por: Domingo-Enrich, Carles, et al.
Publicado: (2023)
A discrete Benamou-Brenier formulation of Optimal Transport on graphs
por: Morris, Kieran, et al.
Publicado: (2026)
por: Morris, Kieran, et al.
Publicado: (2026)
Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization
por: Dus, Mathias
Publicado: (2026)
por: Dus, Mathias
Publicado: (2026)
Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
por: Castin, Valérie, et al.
Publicado: (2026)
por: Castin, Valérie, et al.
Publicado: (2026)
Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities
por: Stéphanovitch, Arthur
Publicado: (2026)
por: Stéphanovitch, Arthur
Publicado: (2026)
Slicing Mutual Information Generalization Bounds for Neural Networks
por: Nadjahi, Kimia, et al.
Publicado: (2024)
por: Nadjahi, Kimia, et al.
Publicado: (2024)
Two-Sided Bounds for Entropic Optimal Transport via a Rate-Distortion Integral
por: Liu, Jingbo
Publicado: (2026)
por: Liu, Jingbo
Publicado: (2026)
Constrained Density Estimation via Optimal Transport
por: Hu, Yinan, et al.
Publicado: (2026)
por: Hu, Yinan, et al.
Publicado: (2026)
Random-Bridges as Stochastic Transports for Generative Models
por: Goria, Stefano, et al.
Publicado: (2025)
por: Goria, Stefano, et al.
Publicado: (2025)
Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks
por: Kogler, Constantin, et al.
Publicado: (2026)
por: Kogler, Constantin, et al.
Publicado: (2026)
Learning Optimal Search Strategies
por: Ankirchner, Stefan, et al.
Publicado: (2026)
por: Ankirchner, Stefan, et al.
Publicado: (2026)
Normalizing Flows for Conformal Regression
por: Colombo, Nicolo
Publicado: (2024)
por: Colombo, Nicolo
Publicado: (2024)
One-Shot Generative Flows: Existence and Obstructions
por: Tsimpos, Panos, et al.
Publicado: (2026)
por: Tsimpos, Panos, et al.
Publicado: (2026)
Generative Sliced MMD Flows with Riesz Kernels
por: Hertrich, Johannes, et al.
Publicado: (2023)
por: Hertrich, Johannes, et al.
Publicado: (2023)
Ejemplares similares
-
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
por: Boïté, Samuel, et al.
Publicado: (2025) -
On the Relation between Rectified Flows and Optimal Transport
por: Hertrich, Johannes, et al.
Publicado: (2025) -
A User's Guide to Sampling Strategies for Sliced Optimal Transport
por: Sisouk, Keanu, et al.
Publicado: (2025) -
Convergence Rates for Distribution Matching with Sliced Optimal Transport
por: Thurin, Gauthier, et al.
Publicado: (2026) -
Optimal Transport-based Conformal Prediction
por: Thurin, Gauthier, et al.
Publicado: (2025)