Image de couverture de livre

How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gao, Weiguo, Li, Ming
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ProFlow: Zero-Shot Physics-Consistent Sampling via Proximal Flow Guidance
par: Yu, Zichao, et autres
Publié: (2026)

Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models
par: Gao, Weiguo, et autres
Publié: (2025)

Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging
par: Gao, Weiguo, et autres
Publié: (2025)

Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching
par: Gaur, Mudit, et autres
Publié: (2025)

Fisher Flow Matching for Generative Modeling over Discrete Data
par: Davis, Oscar, et autres
Publié: (2024)

MEP: Multiple Kernel Learning Enhancing Relative Positional Encoding Length Extrapolation
par: Gao, Weiguo
Publié: (2024)

The Pitfalls of Memorization: When Memorization Hurts Generalization
par: Bayat, Reza, et autres
Publié: (2024)

Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching
par: Gupta, Aditi, et autres
Publié: (2026)

How Do Electrocardiogram Models Scale?
par: Li, Jiawei, et autres
Publié: (2026)

Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted
par: Chavhan, Ruchika, et autres
Publié: (2024)

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
par: Balcerak, Michal, et autres
Publié: (2025)

Diffusion and Flow Matching Models for Tabular Data: A Survey
par: Li, Zhong, et autres
Publié: (2025)

Flow Matching on General Geometries
par: Chen, Ricky T. Q., et autres
Publié: (2023)

Flow Matching with Arbitrary Auxiliary Paths
par: Peng, Xin, et autres
Publié: (2026)

Data Cartography for Detecting Memorization Hotspots and Guiding Data Interventions in Generative Models
par: Patel, Laksh, et autres
Publié: (2025)

Improving Molecular Graph Generation with Flow Matching and Optimal Transport
par: Hou, Xiaoyang, et autres
Publié: (2024)

Generalizability of Memorization Neural Networks
par: Yu, Lijia, et autres
Publié: (2024)

Fine-tuning Flow Matching Generative Models with Intermediate Feedback
par: Fan, Jiajun, et autres
Publié: (2025)

A Theoretical Analysis of Discrete Flow Matching Generative Models
par: Su, Maojiang, et autres
Publié: (2025)

RePCS: Diagnosing Data Memorization in LLM-Powered Retrieval-Augmented Generation
par: Anh, Le Vu, et autres
Publié: (2025)

Generative Latent Neural PDE Solver using Flow Matching
par: Li, Zijie, et autres
Publié: (2025)

A Kinetic Energy Perspective of Flow Matching
par: Li, Ziyun, et autres
Publié: (2026)

Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
par: Jeon, Dongjae, et autres
Publié: (2024)

Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data
par: Wang, Xinyi, et autres
Publié: (2024)

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation
par: Ward, Joshua, et autres
Publié: (2025)

Controlled Generation with Equivariant Variational Flow Matching
par: Eijkelboom, Floor, et autres
Publié: (2025)

Bures-Wasserstein Flow Matching for Graph Generation
par: Jiang, Keyue, et autres
Publié: (2025)

Model Merging in the Essential Subspace
par: Li, Longhua, et autres
Publié: (2026)

Memorization in deep learning: A survey
par: Wei, Jiaheng, et autres
Publié: (2024)

Memorization Sinks: Isolating Memorization during LLM Training
par: Ghosal, Gaurav R., et autres
Publié: (2025)

On the Memorization of Consistency Distillation for Diffusion Models
par: Jiang, Bingqing, et autres
Publié: (2026)

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
par: Zhang, Junru, et autres
Publié: (2026)

EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching
par: Li, Ziyun, et autres
Publié: (2025)

Flowette: Flow Matching with Graphette Priors for Graph Generation
par: Wijesinghe, Asiri, et autres
Publié: (2026)

Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning
par: Peng, Ruiying, et autres
Publié: (2026)

Decoding Generalization from Memorization in Deep Neural Networks
par: Ketha, Simran, et autres
Publié: (2025)

TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
par: Li, Peiran, et autres
Publié: (2026)

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
par: Kong, Lingkai, et autres
Publié: (2025)

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
par: Brinke, Kiet Bennema ten, et autres
Publié: (2025)

Beyond Frequency: The Role of Redundancy in Large Language Model Memorization
par: Zhang, Jie, et autres
Publié: (2025)