On Flow Matching KL Divergence
Fuente:
arXiv
Guardado en:
| Autores principales: | Su, Maojiang, Hu, Jerry Yao-Chieh, Pi, Sophia, Liu, Han |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Are Hallucinations Bad Estimations?
por: Liu, Hude, et al.
Publicado: (2025)
por: Liu, Hude, et al.
Publicado: (2025)
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
por: Wu, Dennis, et al.
Publicado: (2023)
por: Wu, Dennis, et al.
Publicado: (2023)
Discrete Flow Matching Policy Optimization
por: Su, Maojiang, et al.
Publicado: (2026)
por: Su, Maojiang, et al.
Publicado: (2026)
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models
por: Hu, Zheyuan, et al.
Publicado: (2025)
por: Hu, Zheyuan, et al.
Publicado: (2025)
A Theoretical Analysis of Discrete Flow Matching Generative Models
por: Su, Maojiang, et al.
Publicado: (2025)
por: Su, Maojiang, et al.
Publicado: (2025)
One-step Diffusion Models with $f$-Divergence Distribution Matching
por: Xu, Yilun, et al.
Publicado: (2025)
por: Xu, Yilun, et al.
Publicado: (2025)
Score Distillation of Flow Matching Models
por: Zhou, Mingyuan, et al.
Publicado: (2025)
por: Zhou, Mingyuan, et al.
Publicado: (2025)
MeanFlow Transformers with Representation Autoencoders
por: Hu, Zheyuan, et al.
Publicado: (2025)
por: Hu, Zheyuan, et al.
Publicado: (2025)
Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton
por: Lin, Jerry Chun-Wei, et al.
Publicado: (2024)
por: Lin, Jerry Chun-Wei, et al.
Publicado: (2024)
Preconditioned Flow Matching
por: Ahamed, Shadab, et al.
Publicado: (2026)
por: Ahamed, Shadab, et al.
Publicado: (2026)
Transition Flow Matching
por: Ma, Chenrui
Publicado: (2026)
por: Ma, Chenrui
Publicado: (2026)
Longitudinal Flow Matching for Trajectory Modeling
por: Islam, Mohammad Mohaiminul, et al.
Publicado: (2025)
por: Islam, Mohammad Mohaiminul, et al.
Publicado: (2025)
Stepwise Credit Assignment for GRPO on Flow-Matching Models
por: Savani, Yash, et al.
Publicado: (2026)
por: Savani, Yash, et al.
Publicado: (2026)
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
por: Liu, Xinshuang, et al.
Publicado: (2025)
por: Liu, Xinshuang, et al.
Publicado: (2025)
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
por: Matişan, Răzvan-Andrei, et al.
Publicado: (2025)
por: Matişan, Răzvan-Andrei, et al.
Publicado: (2025)
Efficient Flow Matching using Latent Variables
por: Samaddar, Anirban, et al.
Publicado: (2025)
por: Samaddar, Anirban, et al.
Publicado: (2025)
MFM-point: Multi-scale Flow Matching for Point Cloud Generation
por: Molodyk, Petr, et al.
Publicado: (2025)
por: Molodyk, Petr, et al.
Publicado: (2025)
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
por: Fan, Jiajun, et al.
Publicado: (2025)
por: Fan, Jiajun, et al.
Publicado: (2025)
Flow Generator Matching
por: Huang, Zemin, et al.
Publicado: (2024)
por: Huang, Zemin, et al.
Publicado: (2024)
The Generation Phases of Flow Matching: a Denoising Perspective
por: Gagneux, Anne, et al.
Publicado: (2025)
por: Gagneux, Anne, et al.
Publicado: (2025)
Temporal Pair Consistency for Variance-Reduced Flow Matching
por: Maduabuchi, Chika, et al.
Publicado: (2026)
por: Maduabuchi, Chika, et al.
Publicado: (2026)
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)
MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
por: Gao, Huanlin, et al.
Publicado: (2026)
por: Gao, Huanlin, et al.
Publicado: (2026)
AlignGuard: Scalable Safety Alignment for Text-to-Image Generation
por: Liu, Runtao, et al.
Publicado: (2024)
por: Liu, Runtao, et al.
Publicado: (2024)
Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
por: Chen, Hongxu, et al.
Publicado: (2026)
por: Chen, Hongxu, et al.
Publicado: (2026)
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
por: Cao, Yang, et al.
Publicado: (2025)
por: Cao, Yang, et al.
Publicado: (2025)
Iterative Flow Matching -- Path Correction and Gradual Refinement for Enhanced Generative Modeling
por: Haber, Eldad, et al.
Publicado: (2025)
por: Haber, Eldad, et al.
Publicado: (2025)
Recursive Flow Matching
por: Huang, Jiahe, et al.
Publicado: (2026)
por: Huang, Jiahe, et al.
Publicado: (2026)
Recursive KL Divergence Optimization: A Dynamic Framework for Representation Learning
por: Martin, Anthony D
Publicado: (2025)
por: Martin, Anthony D
Publicado: (2025)
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
por: Fu, Yuxiang, et al.
Publicado: (2025)
por: Fu, Yuxiang, et al.
Publicado: (2025)
FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation
por: Wang, Ruiyang, et al.
Publicado: (2026)
por: Wang, Ruiyang, et al.
Publicado: (2026)
Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
por: Zou, Jade, et al.
Publicado: (2026)
por: Zou, Jade, et al.
Publicado: (2026)
Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
por: Lee, Jeongjae, et al.
Publicado: (2026)
por: Lee, Jeongjae, et al.
Publicado: (2026)
Self-Flow-Matching assisted Full Waveform Inversion
por: Huang, Xinquan, et al.
Publicado: (2026)
por: Huang, Xinquan, et al.
Publicado: (2026)
Generalized Kullback-Leibler Divergence Loss
por: Cui, Jiequan, et al.
Publicado: (2025)
por: Cui, Jiequan, et al.
Publicado: (2025)
Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning
por: Zhang, Yan, et al.
Publicado: (2024)
por: Zhang, Yan, et al.
Publicado: (2024)
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
por: Kim, Dongjun, et al.
Publicado: (2023)
por: Kim, Dongjun, et al.
Publicado: (2023)
MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching
por: Khazem, Salim, et al.
Publicado: (2026)
por: Khazem, Salim, et al.
Publicado: (2026)
Minimalist Softmax Attention Provably Learns Constrained Boolean Functions
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2025)
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2025)
Ejemplares similares
-
Are Hallucinations Bad Estimations?
por: Liu, Hude, et al.
Publicado: (2025) -
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024) -
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
por: Wu, Dennis, et al.
Publicado: (2023) -
Discrete Flow Matching Policy Optimization
por: Su, Maojiang, et al.
Publicado: (2026) -
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map Models
por: Hu, Zheyuan, et al.
Publicado: (2025)