On the Guidance of Flow Matching
Fuente:
arXiv
Saved in:
| Main Authors: | Feng, Ruiqi, Yu, Chenglei, Deng, Wenhao, Hu, Peiyan, Wu, Tailin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
by: Deng, Wenhao, et al.
Published: (2025)
by: Deng, Wenhao, et al.
Published: (2025)
One step further with Monte-Carlo sampler to guide diffusion better
by: Ren, Minsi, et al.
Published: (2026)
by: Ren, Minsi, et al.
Published: (2026)
PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
by: Yu, Chenglei, et al.
Published: (2026)
by: Yu, Chenglei, et al.
Published: (2026)
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
by: Hu, Peiyan, et al.
Published: (2025)
by: Hu, Peiyan, et al.
Published: (2025)
FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling
by: Wang, Haixin, et al.
Published: (2025)
by: Wang, Haixin, et al.
Published: (2025)
CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
by: Wei, Long, et al.
Published: (2024)
by: Wei, Long, et al.
Published: (2024)
VFScale: Intrinsic Reasoning through Verifier-Free Test-time Scalable Diffusion Model
by: Zhang, Tao, et al.
Published: (2025)
by: Zhang, Tao, et al.
Published: (2025)
Wavelet Diffusion Neural Operator
by: Hu, Peiyan, et al.
Published: (2024)
by: Hu, Peiyan, et al.
Published: (2024)
RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data
by: Hu, Peiyan, et al.
Published: (2026)
by: Hu, Peiyan, et al.
Published: (2026)
GenCP: Towards Generative Modeling Paradigm of Coupled Physics
by: Gao, Tianrun, et al.
Published: (2026)
by: Gao, Tianrun, et al.
Published: (2026)
DiffPhyCon: A Generative Approach to Control Complex Physical Systems
by: Wei, Long, et al.
Published: (2024)
by: Wei, Long, et al.
Published: (2024)
Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
by: Wan, Zhengyan, et al.
Published: (2025)
by: Wan, Zhengyan, et al.
Published: (2025)
GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows
by: Hu, Chenglei, et al.
Published: (2025)
by: Hu, Chenglei, et al.
Published: (2025)
On the Design of One-step Diffusion via Shortcutting Flow Paths
by: Lin, Haitao, et al.
Published: (2025)
by: Lin, Haitao, et al.
Published: (2025)
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
by: Yu, Chenglei, et al.
Published: (2026)
by: Yu, Chenglei, et al.
Published: (2026)
FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)
by: Zhang, Qianru, et al.
Published: (2025)
Flow Matching with Uncertainty Quantification and Guidance
by: Han, Juyeop, et al.
Published: (2026)
by: Han, Juyeop, et al.
Published: (2026)
MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow Matching
by: Jin, Jirui, et al.
Published: (2025)
by: Jin, Jirui, et al.
Published: (2025)
Value Gradient Guidance for Flow Matching Alignment
by: Liu, Zhen, et al.
Published: (2025)
by: Liu, Zhen, et al.
Published: (2025)
Multi-modal Policies with Physics-informed Representations in Complex Fluid Environments
by: Feng, Haodong, et al.
Published: (2024)
by: Feng, Haodong, et al.
Published: (2024)
Reflected Flow Matching
by: Xie, Tianyu, et al.
Published: (2024)
by: Xie, Tianyu, et al.
Published: (2024)
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
by: Tang, Sophia, et al.
Published: (2025)
by: Tang, Sophia, et al.
Published: (2025)
PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
by: Zhang, Junru, et al.
Published: (2026)
by: Zhang, Junru, et al.
Published: (2026)
Evolving Diffusion and Flow Matching Policies for Online Reinforcement Learning
by: Zhang, Chubin, et al.
Published: (2025)
by: Zhang, Chubin, et al.
Published: (2025)
Momentum Guidance: Plug-and-Play Guidance for Flow Models
by: Liao, Runlong, et al.
Published: (2026)
by: Liao, Runlong, et al.
Published: (2026)
Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
by: Ryzhakov, Gleb, et al.
Published: (2024)
by: Ryzhakov, Gleb, et al.
Published: (2024)
Flow Matching Policy Gradients
by: McAllister, David, et al.
Published: (2025)
by: McAllister, David, et al.
Published: (2025)
Mitigating Gradient Pathology in PINNs through Aligned Constraint
by: Luo, Yichen, et al.
Published: (2026)
by: Luo, Yichen, et al.
Published: (2026)
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
by: Zhang, Tonghe, et al.
Published: (2025)
by: Zhang, Tonghe, et al.
Published: (2025)
Coupled Flow Matching
by: Cai, Wenxi, et al.
Published: (2025)
by: Cai, Wenxi, et al.
Published: (2025)
Federated Flow Matching
by: Wang, Zifan, et al.
Published: (2025)
by: Wang, Zifan, et al.
Published: (2025)
Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning
by: Pang, Teng, et al.
Published: (2026)
by: Pang, Teng, et al.
Published: (2026)
Active Flow Matching
by: Grewal, Yashvir S., et al.
Published: (2026)
by: Grewal, Yashvir S., et al.
Published: (2026)
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance
by: Guo, Liya, et al.
Published: (2025)
by: Guo, Liya, et al.
Published: (2025)
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
by: He, Rundong, et al.
Published: (2025)
by: He, Rundong, et al.
Published: (2025)
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
by: Wang, Haixin, et al.
Published: (2024)
by: Wang, Haixin, et al.
Published: (2024)
M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
by: Zhang, Tao, et al.
Published: (2024)
by: Zhang, Tao, et al.
Published: (2024)
FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
by: Wan, Zhenglin, et al.
Published: (2025)
by: Wan, Zhenglin, et al.
Published: (2025)
Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations
by: Shen, Chenglei, et al.
Published: (2026)
by: Shen, Chenglei, et al.
Published: (2026)
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)
by: Tan, Kim Yong, et al.
Published: (2026)
Similar Items
-
Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
by: Deng, Wenhao, et al.
Published: (2025) -
One step further with Monte-Carlo sampler to guide diffusion better
by: Ren, Minsi, et al.
Published: (2026) -
PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
by: Yu, Chenglei, et al.
Published: (2026) -
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
by: Hu, Peiyan, et al.
Published: (2025) -
FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling
by: Wang, Haixin, et al.
Published: (2025)