Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Sipeng, Liu, Junliang, Tang, Hewei, Li, Shibo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Beyond Heuristics: Globally Optimal Configuration of Implicit Neural Representations
por: Chen, Sipeng, et al.
Publicado: (2025)
por: Chen, Sipeng, et al.
Publicado: (2025)
FFINO: Factorized Fourier Improved Neural Operator for Modeling Multiphase Flow in Underground Hydrogen Storage
por: Wang, Tao, et al.
Publicado: (2025)
por: Wang, Tao, et al.
Publicado: (2025)
COMPOL: A Unified Neural Operator Framework for Scalable Multi-Physics Simulations
por: Sun, Yifei, et al.
Publicado: (2025)
por: Sun, Yifei, et al.
Publicado: (2025)
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
por: Zhang, Yan, et al.
Publicado: (2026)
por: Zhang, Yan, et al.
Publicado: (2026)
FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
por: Dai, Yilong, et al.
Publicado: (2026)
por: Dai, Yilong, et al.
Publicado: (2026)
Generative Latent Neural PDE Solver using Flow Matching
por: Li, Zijie, et al.
Publicado: (2025)
por: Li, Zijie, et al.
Publicado: (2025)
Memory-Conditioned Flow-Matching for Stable Autoregressive PDE Rollouts
por: Armegioiu, Victor
Publicado: (2026)
por: Armegioiu, Victor
Publicado: (2026)
Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon Storage
por: Tang, Hewei, et al.
Publicado: (2023)
por: Tang, Hewei, et al.
Publicado: (2023)
PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes
por: Fazliani, Shaghayegh, et al.
Publicado: (2025)
por: Fazliani, Shaghayegh, et al.
Publicado: (2025)
Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching
por: Zhang, Jiying, et al.
Publicado: (2024)
por: Zhang, Jiying, et al.
Publicado: (2024)
Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features
por: Mueller, Markus, et al.
Publicado: (2026)
por: Mueller, Markus, et al.
Publicado: (2026)
ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities
por: Nguyen, Tri Minh, et al.
Publicado: (2026)
por: Nguyen, Tri Minh, et al.
Publicado: (2026)
Flow-Matching Based Refiner for Molecular Conformer Generation
por: Xu, Xiangyang, et al.
Publicado: (2025)
por: Xu, Xiangyang, et al.
Publicado: (2025)
Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design
por: Chen, Tong, et al.
Publicado: (2025)
por: Chen, Tong, et al.
Publicado: (2025)
Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
por: Liang, Jinhao, et al.
Publicado: (2025)
por: Liang, Jinhao, et al.
Publicado: (2025)
Synergizing Kolmogorov-Arnold Networks with Dynamic Adaptive Weighting for High-Frequency and Multi-Scale PDE Solutions
por: Chen, Guokan, et al.
Publicado: (2025)
por: Chen, Guokan, et al.
Publicado: (2025)
M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
por: Zhang, Tao, et al.
Publicado: (2024)
por: Zhang, Tao, et al.
Publicado: (2024)
PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation
por: Lee, Sang-Hoon, et al.
Publicado: (2024)
por: Lee, Sang-Hoon, et al.
Publicado: (2024)
CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
por: Hou, Xianglong, et al.
Publicado: (2025)
por: Hou, Xianglong, et al.
Publicado: (2025)
Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching
por: Varam, Dara, et al.
Publicado: (2025)
por: Varam, Dara, et al.
Publicado: (2025)
Flow marching for a generative PDE foundation model
por: Chen, Zituo, et al.
Publicado: (2025)
por: Chen, Zituo, et al.
Publicado: (2025)
A Randomized PDE Energy driven Iterative Framework for Efficient and Stable PDE Solutions
por: Bing, Yi, et al.
Publicado: (2026)
por: Bing, Yi, et al.
Publicado: (2026)
Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems
por: Ma, Sicheng, et al.
Publicado: (2026)
por: Ma, Sicheng, et al.
Publicado: (2026)
Categorical Flow Matching on Statistical Manifolds
por: Cheng, Chaoran, et al.
Publicado: (2024)
por: Cheng, Chaoran, et al.
Publicado: (2024)
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision
por: Liu, Chen, et al.
Publicado: (2024)
por: Liu, Chen, et al.
Publicado: (2024)
Accelerating PDE Data Generation via Differential Operator Action in Solution Space
por: Dong, Huanshuo, et al.
Publicado: (2024)
por: Dong, Huanshuo, et al.
Publicado: (2024)
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
por: Koren, Noam, et al.
Publicado: (2025)
por: Koren, Noam, et al.
Publicado: (2025)
Efficiency vs. Fidelity: A Comparative Analysis of Diffusion Probabilistic Models and Flow Matching on Low-Resource Hardware
por: Gupta, Srishti, et al.
Publicado: (2025)
por: Gupta, Srishti, et al.
Publicado: (2025)
Quantum Flow Matching
por: Cui, Zidong, et al.
Publicado: (2025)
por: Cui, Zidong, et al.
Publicado: (2025)
Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies
por: Li, Zeyang, et al.
Publicado: (2026)
por: Li, Zeyang, et al.
Publicado: (2026)
Free Energy Surface Sampling via Reduced Flow Matching
por: Liu, Zichen, et al.
Publicado: (2026)
por: Liu, Zichen, et al.
Publicado: (2026)
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
por: Kviman, Oskar, et al.
Publicado: (2025)
por: Kviman, Oskar, et al.
Publicado: (2025)
Structured Coupling for Flow Matching
por: Sumba, Xavier, et al.
Publicado: (2026)
por: Sumba, Xavier, et al.
Publicado: (2026)
BumpNet: A Sparse MLP Framework for Learning PDE Solutions
por: Chiu, Shao-Ting, et al.
Publicado: (2025)
por: Chiu, Shao-Ting, et al.
Publicado: (2025)
A Generative Model Enhanced Multi-Agent Reinforcement Learning Method for Electric Vehicle Charging Navigation
por: Qi, Tianyang, et al.
Publicado: (2025)
por: Qi, Tianyang, et al.
Publicado: (2025)
Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
por: Ryzhakov, Gleb, et al.
Publicado: (2024)
por: Ryzhakov, Gleb, et al.
Publicado: (2024)
$α$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
por: Cheng, Chaoran, et al.
Publicado: (2025)
por: Cheng, Chaoran, et al.
Publicado: (2025)
Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions
por: Luo, Mingxuan, et al.
Publicado: (2026)
por: Luo, Mingxuan, et al.
Publicado: (2026)
Local Flow Matching Generative Models
por: Xu, Chen, et al.
Publicado: (2024)
por: Xu, Chen, et al.
Publicado: (2024)
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model
por: Jollie, Derek, et al.
Publicado: (2024)
por: Jollie, Derek, et al.
Publicado: (2024)
Ejemplares similares
-
Beyond Heuristics: Globally Optimal Configuration of Implicit Neural Representations
por: Chen, Sipeng, et al.
Publicado: (2025) -
FFINO: Factorized Fourier Improved Neural Operator for Modeling Multiphase Flow in Underground Hydrogen Storage
por: Wang, Tao, et al.
Publicado: (2025) -
COMPOL: A Unified Neural Operator Framework for Scalable Multi-Physics Simulations
por: Sun, Yifei, et al.
Publicado: (2025) -
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
por: Zhang, Yan, et al.
Publicado: (2026) -
FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation
por: Dai, Yilong, et al.
Publicado: (2026)