Cover Image

Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stock, Jason, Arcomano, Troy, Kotamarthi, Rao
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

OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales
by: Nguyen, Tung, et al.
Published: (2025)

Multimodal Atmospheric Super-Resolution With Deep Generative Models
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)

AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions
by: Hatanpää, Väinö, et al.
Published: (2025)

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
by: Nguyen, Tung, et al.
Published: (2023)

Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)

Prediction Beyond the Medium Range with an Atmosphere-Ocean Model that Combines Physics-based Modeling and Machine Learning
by: Patel, Dhruvit, et al.
Published: (2024)

LUCIE-3D: A three-dimensional climate emulator for forced responses
by: Guan, Haiwen, et al.
Published: (2025)

LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
by: Guan, Haiwen, et al.
Published: (2024)

Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting
by: Essafouri, Younes, et al.
Published: (2026)

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

High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator
by: Guan, Haiwen, et al.
Published: (2026)

Data-Efficient Ensemble Weather Forecasting with Diffusion Models
by: Valencia, Kevin, et al.
Published: (2025)

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

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
by: Lu, Jiecheng, et al.
Published: (2025)

Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers
by: Zhao, Shan, et al.
Published: (2024)

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
by: Li, Shixuan, et al.
Published: (2025)

Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models
by: Arif, Huzaifa, et al.
Published: (2025)

Comparative Evaluation of Weather Forecasting using Machine Learning Models
by: Rahman, Md Saydur, et al.
Published: (2024)

Adversarial Observations in Weather Forecasting
by: Imgrund, Erik, et al.
Published: (2025)

Probabilistic Forecasting via Autoregressive Flow Matching
by: ElGazzar, Ahmed, et al.
Published: (2025)

Automated Spatio-Temporal Weather Modeling for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)

Efficient Autoregressive Inference for Transformer Probabilistic Models
by: Hassan, Conor, et al.
Published: (2025)

Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
by: Ma, Xiaolong, et al.
Published: (2025)

Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
by: Symeonidis, Charalampos, et al.
Published: (2024)

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

Weather Maps as Tokens: Transformers for Renewable Energy Forecasting
by: Battini, Federico
Published: (2025)

Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
by: Oskarsson, Joel, et al.
Published: (2024)

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models
by: Thangarasa, Vithursan, et al.
Published: (2024)

Numerical Pruning for Efficient Autoregressive Models
by: Shen, Xuan, et al.
Published: (2024)

SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
by: Minnick, John R., et al.
Published: (2026)

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting
by: Zhuang, Yilin, et al.
Published: (2025)

Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching
by: Kuzhamuratov, Arsen, et al.
Published: (2026)

FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models
by: Deng, Yue, et al.
Published: (2025)

UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
by: Ni, Hang, et al.
Published: (2025)

Exploring Quantum Machine Learning for Weather Forecasting
by: da Silva, Maria Heloísa F., et al.
Published: (2025)

Swift Sampler: Efficient Learning of Sampler by 10 Parameters
by: Yao, Jiawei, et al.
Published: (2024)

Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
by: Skalski, Piotr, et al.
Published: (2024)

Consistency Checks for Language Model Forecasters
by: Paleka, Daniel, et al.
Published: (2024)

Towards Scalable One-Step Generative Modeling for Autoregressive Dynamical System Forecasting
by: Yang, Tianyue, et al.
Published: (2026)

AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
by: Liu, Yong, et al.
Published: (2024)