Cover Image

Preconditioned Flow Matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahamed, Shadab, Gal, Eshed, Siddiqui, Md Shahriar Rahim, Ghyselincks, Simon, Eliasof, Moshe, Haber, Eldad
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Iterative Flow Matching -- Path Correction and Gradual Refinement for Enhanced Generative Modeling
by: Haber, Eldad, et al.
Published: (2025)

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2025)

DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems
by: Ahamed, Shadab, et al.
Published: (2024)

Conservative Flows: A New Paradigm of Generative Models
by: Gal, Eshed, et al.
Published: (2026)

Synthetic Geology: Structural Geology Meets Deep Learning
by: Ghyselincks, Simon, et al.
Published: (2025)

An Over Complete Deep Learning Method for Inverse Problems
by: Eliasof, Moshe, et al.
Published: (2024)

Inversion of Magnetic Data using Learned Dictionaries and Scale Space
by: Ahamed, Shadab, et al.
Published: (2025)

Quadratic Binary Optimization with Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

Deep Optimal Experimental Design for Parameter Estimation Problems
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2024)

PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
by: Gal, Eshed, et al.
Published: (2026)

Multiscale Training of Convolutional Neural Networks
by: Ahamed, Shadab, et al.
Published: (2025)

Learning Regularization for Graph Inverse Problems
by: Eliasof, Moshe, et al.
Published: (2024)

Reversing Large Language Models for Efficient Training and Fine-Tuning
by: Gal, Eshed, et al.
Published: (2025)

AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images
by: Ahamed, Shadab
Published: (2024)

Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset
by: Himel, Galib Muhammad Shahriar, et al.
Published: (2024)

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

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

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

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

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

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

Stepwise Credit Assignment for GRPO on Flow-Matching Models
by: Savani, Yash, et al.
Published: (2026)

The Generation Phases of Flow Matching: a Denoising Perspective
by: Gagneux, Anne, et al.
Published: (2025)

Temporal Pair Consistency for Variance-Reduced Flow Matching
by: Maduabuchi, Chika, et al.
Published: (2026)

Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)

Score-Regularized Joint Sampling with Importance Weights for Flow Matching
by: Liu, Xinshuang, et al.
Published: (2025)

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

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
by: Fan, Jiajun, et al.
Published: (2025)

DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
by: Siddiqui, Md. Saiful Bari, et al.
Published: (2024)

DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptation
by: Rifat, Shahriar, et al.
Published: (2024)

TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification
by: Ahamed, Rafi, et al.
Published: (2026)

IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study
by: Ahamed, Shadab, et al.
Published: (2024)

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
by: Cao, Yang, et al.
Published: (2025)

MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
by: Gao, Huanlin, et al.
Published: (2026)

Recursive Flow Matching
by: Huang, Jiahe, et al.
Published: (2026)

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
by: Fu, Yuxiang, et al.
Published: (2025)

SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable Thresholds
by: Karmakar, Ranit, et al.
Published: (2025)

Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
by: Chen, Hongxu, et al.
Published: (2026)

Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
by: Zou, Jade, et al.
Published: (2026)

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
by: Lee, Jeongjae, et al.
Published: (2026)