Cover Image

FlowCast-ODE: Continuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Solver

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Shuangshuang, Zhang, Yuanting, Liang, Hongli, Meng, Qingye, Yuan, Xingyuan, Wang, Shuo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting
by: Liang, Hongli, et al.
Published: (2025)

Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework
by: He, Shuangshuang, et al.
Published: (2025)

FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching
by: Ribeiro, Bernardo Perrone, et al.
Published: (2025)

From Euler to Dormand-Prince: ODE Solvers for Flow Matching Generative Models
by: Xiao, Hao
Published: (2026)

Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries and Denoisers
by: Wan, Zhengchao, et al.
Published: (2024)

PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints
by: Wang, Shuo, et al.
Published: (2025)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)

ODE-free Neural Flow Matching for One-Step Generative Modeling
by: Shou, Xiao
Published: (2026)

FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching
by: Bajpai, Divya Jyoti, et al.
Published: (2026)

Improving Transformers with Dynamically Composable Multi-Head Attention
by: Xiao, Da, et al.
Published: (2024)

ODE$_t$(ODE$_l$): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling
by: Gudovskiy, Denis, et al.
Published: (2025)

Probability-Flow ODE in Infinite-Dimensional Function Spaces
by: Na, Kunwoo, et al.
Published: (2025)

Parallel-in-Time Probabilistic Numerical ODE Solvers
by: Bosch, Nathanael, et al.
Published: (2023)

Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting
by: Wang, Xiaoda, et al.
Published: (2025)

MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
by: Xiao, Da, et al.
Published: (2025)

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
by: Verma, Yogesh, et al.
Published: (2024)

Minimax Optimality of the Probability Flow ODE for Diffusion Models
by: Cai, Changxiao, et al.
Published: (2025)

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
by: Han, Jiaqi, et al.
Published: (2025)

Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements
by: Krämer, Nicholas
Published: (2024)

Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models
by: He, Dailan, et al.
Published: (2025)

LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems
by: Li, Haoran, et al.
Published: (2026)

Neuro-Symbolic ODE Discovery with Latent Grammar Flow
by: Yu, Karin, et al.
Published: (2026)

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
by: Kim, Dongjun, et al.
Published: (2023)

Stable and Near-Reversible Diffusion ODE Solvers for Image Editing
by: Barancikova, Barbora, et al.
Published: (2026)

Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning
by: Wang, Xiaoyi, et al.
Published: (2026)

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
by: Huang, Zijie, et al.
Published: (2024)

Convergence Analysis of Probability Flow ODE for Score-based Generative Models
by: Huang, Daniel Zhengyu, et al.
Published: (2024)

Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers
by: Yao, Dingling, et al.
Published: (2025)

Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
by: Feng, Yi, et al.
Published: (2026)

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
by: Sun, Li, et al.
Published: (2025)

Super-Resolving Coarse-Resolution Weather Forecasts With Flow Matching
by: Delefosse, Aymeric, et al.
Published: (2026)

U-Former ODE: Fast Probabilistic Forecasting of Irregular Time Series
by: Kuleshov, Ilya, et al.
Published: (2026)

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models
by: Huang, Daniel Zhengyu, et al.
Published: (2025)

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
by: Xu, Fan, et al.
Published: (2026)

Unlocking the Potential of Continual Model Merging: An ODE Perspective
by: Lin, Lihong, et al.
Published: (2026)

SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
by: Peng, Wenqing, et al.
Published: (2025)

Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
by: Wang, Shuo, et al.
Published: (2025)

Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
by: Joy, Usman Gani
Published: (2025)

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting
by: Pan, Bokai, et al.
Published: (2026)

Learning the Simplest Neural ODE
by: Okamoto, Yuji, et al.
Published: (2025)