Copertina

Data-Efficient Ensemble Weather Forecasting with Diffusion Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Valencia, Kevin, Liu, Ziyang, Cui, Justin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Video Text Preservation with Synthetic Text-Rich Videos
di: Liu, Ziyang, et al.
Pubblicazione: (2025)

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

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
di: Chen, Anthony, et al.
Pubblicazione: (2023)

An Efficient Framework for Crediting Data Contributors of Diffusion Models
di: Lin, Chris, et al.
Pubblicazione: (2024)

Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
di: Özdenizci, Ozan, et al.
Pubblicazione: (2022)

Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates
di: Iele, Irene, et al.
Pubblicazione: (2026)

Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models
di: Shen, Zhirong, et al.
Pubblicazione: (2026)

KARINA: An Efficient Deep Learning Model for Global Weather Forecast
di: Cheon, Minjong, et al.
Pubblicazione: (2024)

Cyclical Temporal Encoding and Hybrid Deep Ensembles for Multistep Energy Forecasting
di: Khazem, Salim, et al.
Pubblicazione: (2025)

Directly Fine-Tuning Diffusion Models on Differentiable Rewards
di: Clark, Kevin, et al.
Pubblicazione: (2023)

Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models
di: Dev, Arundhathi, et al.
Pubblicazione: (2026)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
di: Marimont, Sergio Naval, et al.
Pubblicazione: (2024)

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging
di: Shen, Li, et al.
Pubblicazione: (2024)

Learning Latent Space Hierarchical EBM Diffusion Models
di: Cui, Jiali, et al.
Pubblicazione: (2024)

Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction
di: Li, Xiao, et al.
Pubblicazione: (2025)

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
di: Peng, Xinyu, et al.
Pubblicazione: (2024)

Data-to-Model Distillation: Data-Efficient Learning Framework
di: Sajedi, Ahmad, et al.
Pubblicazione: (2024)

The Missing U for Efficient Diffusion Models
di: Calvo-Ordonez, Sergio, et al.
Pubblicazione: (2023)

OxEnsemble: Fair Ensembles for Low-Data Classification
di: Rystrøm, Jonathan, et al.
Pubblicazione: (2025)

One Step Diffusion via Shortcut Models
di: Frans, Kevin, et al.
Pubblicazione: (2024)

Concepts or Skills? Rethinking Instruction Selection for Multi-modal Models
di: Bai, Andrew, et al.
Pubblicazione: (2025)

Machine Learning Detection of Road Surface Conditions: A Generalizable Model using Traffic Cameras and Weather Data
di: Sutter, Carly, et al.
Pubblicazione: (2025)

Data Pruning in Generative Diffusion Models
di: Briq, Rania, et al.
Pubblicazione: (2024)

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
di: Gabetni, Firas, et al.
Pubblicazione: (2025)

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
di: Gella, Blake, et al.
Pubblicazione: (2024)

Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe
di: Liu, Yahui, et al.
Pubblicazione: (2025)

Geospatial Diffusion for Land Cover Imperviousness Change Forecasting
di: Varshney, Debvrat, et al.
Pubblicazione: (2025)

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
di: Han, Jiaqi, et al.
Pubblicazione: (2026)

PQD: Post-training Quantization for Efficient Diffusion Models
di: Ye, Jiaojiao, et al.
Pubblicazione: (2024)

Multimodal Data Curation via Object Detection and Filter Ensembles
di: Huang, Tzu-Heng, et al.
Pubblicazione: (2024)

Data-Augmented Quantization-Aware Knowledge Distillation
di: Kur, Justin, et al.
Pubblicazione: (2025)

A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting
di: Assion, Felix, et al.
Pubblicazione: (2024)

N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting
di: Xing, Yucheng, et al.
Pubblicazione: (2026)

Enhancing Robustness of Human Detection Algorithms in Maritime SAR through Augmented Aerial Images to Simulate Weather Conditions
di: Tjia, Miguel, et al.
Pubblicazione: (2024)

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
di: Shen, Xing, et al.
Pubblicazione: (2023)

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting
di: Avogaro, Andrea, et al.
Pubblicazione: (2024)

PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
di: Saleem, Hira, et al.
Pubblicazione: (2026)

Data-Efficient Realized Volatility Forecasting with Vision Transformers
di: Soroka, Emi, et al.
Pubblicazione: (2025)

Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion
di: Jung, Justin
Pubblicazione: (2025)

When Are Concepts Erased From Diffusion Models?
di: Lu, Kevin, et al.
Pubblicazione: (2025)