Copertina

Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ma, Xiaolong, Dong, Xu, Tarrant, Ashley, Yang, Lei, Kotamarthi, Rao, Wang, Jiali, Yan, Feng, Kettimuthu, Rajkumar
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Joint Modeling of Wind Speed and Wind Direction Through a Conditional Approach
di: Eva Murphy, et al.
Pubblicazione: (2025)

MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes
di: Ma, Xiaolong, et al.
Pubblicazione: (2024)

Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models
di: Ayapilla, Aditya Sai Pranith, et al.
Pubblicazione: (2026)

Joint modeling of wind speed and wind direction through a conditional approach
di: Murphy, Eva, et al.
Pubblicazione: (2022)

Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance
di: Cam, Refik Mert, et al.
Pubblicazione: (2025)

Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting
di: Stock, Jason, et al.
Pubblicazione: (2025)

Unsupervised Super-Resolution Data Assimilation Using Conditional Variational Autoencoders with Estimating Background Covariances via Super-Resolution
di: Yasuda, Yuki, et al.
Pubblicazione: (2023)

How Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution?
di: Herb, Benjamin, et al.
Pubblicazione: (2026)

A Review of Software for Designing and Operating Quantum Networks
di: Hayek, Robert J., et al.
Pubblicazione: (2025)

A Review of Software for Designing and Operating Quantum Networks
di: Robert J. Hayek, et al.
Pubblicazione: (2026)

A Framework of Data Assimilation for Wind Flow Fields by Physics-informed Neural Networks
di: Yan, Chang, et al.
Pubblicazione: (2024)

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
di: Li, Guangyuan, et al.
Pubblicazione: (2024)

Diffusion Model‐Based MRI Super‐Resolution Synthesis
di: Ji Ma, et al.
Pubblicazione: (2025)

Simulation of Entanglement-Enabled Connectivity in QLANs using SeQUeNCe
di: Mazza, Francesco, et al.
Pubblicazione: (2024)

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
di: Chen, Kun, et al.
Pubblicazione: (2024)

Parallel Simulation of Quantum Networks with Distributed Quantum State Management
di: Wu, Xiaoliang, et al.
Pubblicazione: (2021)

Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
di: Li, Gen, et al.
Pubblicazione: (2024)

One-Step Effective Diffusion Network for Real-World Image Super-Resolution
di: Wu, Rongyuan, et al.
Pubblicazione: (2024)

Analytical Performance Estimations for Quantum Repeater Network Scenarios
di: Zang, Allen, et al.
Pubblicazione: (2024)

Design and Simulation of the Adaptive Continuous Entanglement Generation Protocol
di: Zhan, Caitao, et al.
Pubblicazione: (2025)

Adaptive, Continuous Entanglement Generation for Quantum Networks
di: Kolar, Alexander, et al.
Pubblicazione: (2022)

To Stream or Not to Stream: Towards A Quantitative Model for Remote HPC Processing Decisions
di: Castro, Flavio, et al.
Pubblicazione: (2025)

Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data and Application to Ukraine
di: Benton, Brandon N., et al.
Pubblicazione: (2024)

Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
di: Luan, Kai, et al.
Pubblicazione: (2024)

Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
di: Li, Jia, et al.
Pubblicazione: (2023)

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution
di: He, Haodong, et al.
Pubblicazione: (2025)

Super Resolution On Global Weather Forecasts
di: Zhang, Lawrence, et al.
Pubblicazione: (2024)

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution
di: Xu, Wuzhe, et al.
Pubblicazione: (2025)

Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
di: Xu, Xiaoze, et al.
Pubblicazione: (2024)

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
di: Ma, Yiyang, et al.
Pubblicazione: (2023)

Application of Continuous Data Assimilation in High-Resolution Ocean Modeling
di: Larios, Adam, et al.
Pubblicazione: (2023)

Control-Augmented Autoregressive Diffusion for Data Assimilation
di: Srivastava, Prakhar, et al.
Pubblicazione: (2025)

Using Diffusion Models to do Data Assimilation
di: Hodyss, Daniel, et al.
Pubblicazione: (2025)

SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks
di: Wu, Xiaoliang, et al.
Pubblicazione: (2020)

Image Super-Resolution with Text Prompt Diffusion
di: Chen, Zheng, et al.
Pubblicazione: (2023)

PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
di: Xu, Zihang, et al.
Pubblicazione: (2026)

Diffusion-Based Probabilistic Modeling for Hourly Streamflow Prediction and Assimilation
di: Yang, Wencong, et al.
Pubblicazione: (2025)

HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution
di: Zou, Yang, et al.
Pubblicazione: (2026)

Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution
di: Du, Peng, et al.
Pubblicazione: (2025)

Wind from the Hot Accretion Flow and Super-Eddington Accretion Flow
di: Yang, Hai, et al.
Pubblicazione: (2024)