Guardado en:
| Autores principales: | Tsimpos, Panos, Sharp, Daniel, Marzouk, Youssef |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2604.15439 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
An Eulerian Perspective on Straight-Line Sampling
por: Tsimpos, Panos, et al.
Publicado: (2025)
por: Tsimpos, Panos, et al.
Publicado: (2025)
Optimal Scheduling of Dynamic Transport
por: Tsimpos, Panos, et al.
Publicado: (2025)
por: Tsimpos, Panos, et al.
Publicado: (2025)
Infinite-Dimensional Diffusion Models
por: Pidstrigach, Jakiw, et al.
Publicado: (2023)
por: Pidstrigach, Jakiw, et al.
Publicado: (2023)
Weighted quantization using MMD: From mean field to mean shift via gradient flows
por: Belhadji, Ayoub, et al.
Publicado: (2025)
por: Belhadji, Ayoub, et al.
Publicado: (2025)
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
por: Li, Matthew T. C., et al.
Publicado: (2024)
por: Li, Matthew T. C., et al.
Publicado: (2024)
Preserving linear invariants in ensemble filtering methods
por: Provost, Mathieu Le, et al.
Publicado: (2024)
por: Provost, Mathieu Le, et al.
Publicado: (2024)
Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers
por: Zhang, Benjamin J., et al.
Publicado: (2023)
por: Zhang, Benjamin J., et al.
Publicado: (2023)
To discretize continually: Mean shift interacting particle systems for Bayesian inference
por: Belhadji, Ayoub, et al.
Publicado: (2026)
por: Belhadji, Ayoub, et al.
Publicado: (2026)
Precise asymptotic analysis of Sobolev training for random feature models
por: Fisher, Katharine E, et al.
Publicado: (2025)
por: Fisher, Katharine E, et al.
Publicado: (2025)
A low-rank ensemble Kalman filter for elliptic observations
por: Provost, Mathieu Le, et al.
Publicado: (2022)
por: Provost, Mathieu Le, et al.
Publicado: (2022)
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion
por: Kim, Hwanwoo, et al.
Publicado: (2025)
por: Kim, Hwanwoo, et al.
Publicado: (2025)
One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators
por: Tsimpos, Panos, et al.
Publicado: (2026)
por: Tsimpos, Panos, et al.
Publicado: (2026)
Sampling in Unit Time with Kernel Fisher-Rao Flow
por: Maurais, Aimee, et al.
Publicado: (2024)
por: Maurais, Aimee, et al.
Publicado: (2024)
Generative Sliced MMD Flows with Riesz Kernels
por: Hertrich, Johannes, et al.
Publicado: (2023)
por: Hertrich, Johannes, et al.
Publicado: (2023)
Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on $\mathbb{so}(d)$
por: Daniely, Amit
Publicado: (2025)
por: Daniely, Amit
Publicado: (2025)
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
por: Gao, Xuefeng, et al.
Publicado: (2024)
por: Gao, Xuefeng, et al.
Publicado: (2024)
Tail-Sensitive KL and Rényi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings
por: Bou-Rabee, Nawaf, et al.
Publicado: (2026)
por: Bou-Rabee, Nawaf, et al.
Publicado: (2026)
Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
por: Hemdanou, Abderrafik Laakel, et al.
Publicado: (2025)
por: Hemdanou, Abderrafik Laakel, et al.
Publicado: (2025)
Performance of Rank-One Tensor Approximation on Incomplete Data
por: Lebeau, Hugo
Publicado: (2025)
por: Lebeau, Hugo
Publicado: (2025)
Normalizing Flows for Conformal Regression
por: Colombo, Nicolo
Publicado: (2024)
por: Colombo, Nicolo
Publicado: (2024)
Scale-Adaptive Generative Flows for Multiscale Scientific Data
por: Chen, Yifan, et al.
Publicado: (2025)
por: Chen, Yifan, et al.
Publicado: (2025)
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)
On the Relation between Rectified Flows and Optimal Transport
por: Hertrich, Johannes, et al.
Publicado: (2025)
por: Hertrich, Johannes, et al.
Publicado: (2025)
Liouville Flow Importance Sampler
por: Tian, Yifeng, et al.
Publicado: (2024)
por: Tian, Yifeng, et al.
Publicado: (2024)
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
por: Zou, Joanna, et al.
Publicado: (2026)
por: Zou, Joanna, et al.
Publicado: (2026)
Diffusion map particle systems for generative modeling
por: Li, Fengyi, et al.
Publicado: (2023)
por: Li, Fengyi, 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)
Normalizing Flows on Quotient Manifolds via Boundary Quotients
por: Ghanem, William, et al.
Publicado: (2025)
por: Ghanem, William, et al.
Publicado: (2025)
Expected Batch Optimal Transport Plans and Consequences for Flow Matching
por: Boïté, Samuel, et al.
Publicado: (2026)
por: Boïté, Samuel, et al.
Publicado: (2026)
Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans
por: Wald, Christian, et al.
Publicado: (2025)
por: Wald, Christian, et al.
Publicado: (2025)
Can Bayesian Neural Networks Make Confident Predictions?
por: Fisher, Katharine, et al.
Publicado: (2025)
por: Fisher, Katharine, et al.
Publicado: (2025)
A friendly introduction to triangular transport
por: Ramgraber, Maximilian, et al.
Publicado: (2025)
por: Ramgraber, Maximilian, et al.
Publicado: (2025)
Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural Flows
por: Wang, Yu, et al.
Publicado: (2026)
por: Wang, Yu, et al.
Publicado: (2026)
A Mean Field Ansatz for Zero-Shot Weight Transfer
por: Chen, Xingyuan, et al.
Publicado: (2024)
por: Chen, Xingyuan, et al.
Publicado: (2024)
Principal Feature Detection via $Φ$-Sobolev Inequalities
por: Li, Matthew T. C., et al.
Publicado: (2023)
por: Li, Matthew T. C., et al.
Publicado: (2023)
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models
por: Gao, Xuefeng, et al.
Publicado: (2023)
por: Gao, Xuefeng, et al.
Publicado: (2023)
A hierarchical entropy method for the delocalization of bias in high-dimensional Langevin Monte Carlo
por: Lacker, Daniel, et al.
Publicado: (2025)
por: Lacker, Daniel, et al.
Publicado: (2025)
Learning Discriminators for Resampling in the Ensemble Gaussian Mixture Filter through a Normalizing Flow Approach
por: Jabbar, Zain, et al.
Publicado: (2026)
por: Jabbar, Zain, 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)
Ejemplares similares
-
An Eulerian Perspective on Straight-Line Sampling
por: Tsimpos, Panos, et al.
Publicado: (2025) -
Optimal Scheduling of Dynamic Transport
por: Tsimpos, Panos, et al.
Publicado: (2025) -
Infinite-Dimensional Diffusion Models
por: Pidstrigach, Jakiw, et al.
Publicado: (2023) -
Weighted quantization using MMD: From mean field to mean shift via gradient flows
por: Belhadji, Ayoub, et al.
Publicado: (2025) -
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
por: Li, Matthew T. C., et al.
Publicado: (2024)