Cover Image

Recursive Flow Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Jiahe, Xu, Sihan, Vadgama, Sharvaree, Yu, Rose
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiffusionPDE: Generative PDE-Solving Under Partial Observation
by: Huang, Jiahe, et al.
Published: (2024)

Longitudinal Flow Matching for Trajectory Modeling
by: Islam, Mohammad Mohaiminul, et al.
Published: (2025)

A generalizable framework for low-rank tensor completion with numerical priors
by: Yuan, Shiran, et al.
Published: (2023)

Probing Equivariance and Symmetry Breaking in Convolutional Networks
by: Vadgama, Sharvaree, et al.
Published: (2025)

Physics-informed diffusion models in spectral space
by: Gallon, Davide, et al.
Published: (2026)

DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation
by: Venugopal, Sankarshana, et al.
Published: (2026)

Grounding Continuous Representations in Geometry: Equivariant Neural Fields
by: Wessels, David R, et al.
Published: (2024)

Robust Training of Neural Networks at Arbitrary Precision and Sparsity
by: Ye, Chengxi, et al.
Published: (2024)

Group and Shuffle: Efficient Structured Orthogonal Parametrization
by: Gorbunov, Mikhail, et al.
Published: (2024)

High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers
by: Wodzinski, Marek, et al.
Published: (2023)

Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction
by: Mohan, K. Aditya, et al.
Published: (2024)

MC$^2$: Monte Carlo Correction for Fast Elliptic PDE Solving
by: Hsu, Ethan, et al.
Published: (2026)

Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks
by: Bonneville, Christophe, et al.
Published: (2026)

MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
by: He, Juncai, et al.
Published: (2019)

Flow Generator Matching
by: Huang, Zemin, et al.
Published: (2024)

Preconditioned Flow Matching
by: Ahamed, Shadab, et al.
Published: (2026)

Transition Flow Matching
by: Ma, Chenrui
Published: (2026)

A Novel Wasserstein Quaternion Generative Adversarial Network for Color Image Generation
by: Jia, Zhigang, et al.
Published: (2025)

Deep Guess acceleration for explainable image reconstruction in sparse-view CT
by: Piccolomini, Elena Loli, et al.
Published: (2024)

Fast OTSU Thresholding Using Bisection Method
by: Kodathala, Sai Varun
Published: (2025)

Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model
by: Wu, Huiwen, et al.
Published: (2025)

On Flow Matching KL Divergence
by: Su, Maojiang, et al.
Published: (2025)

CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
by: Hou, Xianglong, et al.
Published: (2025)

Linearized Attention Cannot Enter the Kernel Regime at Any Practical Width
by: Miñoza, Jose Marie Antonio, et al.
Published: (2026)

The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
by: Bastounis, Alexander, et al.
Published: (2021)

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
by: Shumaylov, Zakhar, et al.
Published: (2024)

Layer-Specific Optimization: Sensitivity Based Convolution Layers Basis Search
by: Alekseev, Vasiliy, et al.
Published: (2024)

Multiresolution local smoothness detection in non-uniformly sampled multivariate signals
by: Avesani, Sara, et al.
Published: (2025)

A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks
by: Meneghetti, Laura, et al.
Published: (2022)

Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks
by: Celaya, Adrian, et al.
Published: (2023)

LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
by: Ding, Chi, et al.
Published: (2024)

Tensor PCA from basis in tensor space
by: Turchetti, Claudio, et al.
Published: (2023)

FINDER: Feature Inference on Noisy Datasets using Eigenspace Residuals
by: Murphy, Trajan, et al.
Published: (2025)

LRTuckerRep: Low-rank Tucker Representation Model for Multi-dimensional Data Completion
by: Gong, Wenwu, et al.
Published: (2025)

A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension
by: Wang, Chao, et al.
Published: (2024)

Score Distillation of Flow Matching Models
by: Zhou, Mingyuan, et al.
Published: (2025)

Self-Flow-Matching assisted Full Waveform Inversion
by: Huang, Xinquan, et al.
Published: (2026)

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
by: Xu, Sihan, et al.
Published: (2023)

MFM-point: Multi-scale Flow Matching for Point Cloud Generation
by: Molodyk, Petr, et al.
Published: (2025)

Efficient Flow Matching using Latent Variables
by: Samaddar, Anirban, et al.
Published: (2025)