:: Library Catalog

Нүүр зураг

-д хадгалсан:

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Lyu, Tengfei, Zhang, Weijia, Liu, Hao
Формат:	Preprint
Хэвлэсэн:	2025
Нөхцлүүд:	Machine Learning Artificial Intelligence
Онлайн хандалт:	https://arxiv.org/abs/2506.08049
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Ижил төстэй зүйлс

Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers
-н: Zhao, Shan, зэрэг
Хэвлэсэн: (2024)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
-н: Lyu, Tengfei, зэрэг
Хэвлэсэн: (2024)

Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model
-н: Mu, Bin, зэрэг
Хэвлэсэн: (2025)

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
-н: Guo, Yizhen, зэрэг
Хэвлэсэн: (2024)

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
-н: Liu, Yang, зэрэг
Хэвлэсэн: (2025)

UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
-н: Ni, Hang, зэрэг
Хэвлэсэн: (2025)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
-н: Zhang, Weijia, зэрэг
Хэвлэсэн: (2024)

Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
-н: Liu, Fan, зэрэг
Хэвлэсэн: (2025)

IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
-н: Xu, Jingyi, зэрэг
Хэвлэсэн: (2026)

Global Stress Generation and Spatiotemporal Super-Resolution Physics-Informed Operator under Dynamic Loading for Two-Phase Random Materials
-н: Xing, Tengfei, зэрэг
Хэвлэсэн: (2025)

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems
-н: Wang, Hao, зэрэг
Хэвлэсэн: (2025)

Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
-н: Bommer, Philine L., зэрэг
Хэвлэсэн: (2025)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
-н: Zhang, Weijia, зэрэг
Хэвлэсэн: (2023)

CITRAS: Covariate-Informed Transformer for Time Series Forecasting
-н: Yamaguchi, Yosuke, зэрэг
Хэвлэсэн: (2025)

FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting
-н: Lyu, Yafei, зэрэг
Хэвлэсэн: (2025)

SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting
-н: Zhou, Ziyu, зэрэг
Хэвлэсэн: (2026)

An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
-н: Danish, Muhammad Umair, зэрэг
Хэвлэсэн: (2025)

AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts
-н: Zhu, Zijian, зэрэг
Хэвлэсэн: (2026)

Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
-н: Zhang, Weijia, зэрэг
Хэвлэсэн: (2024)

A Tidal Current Speed Forecasting Model based on Multi-Periodicity Learning
-н: Cheng, Tengfei, зэрэг
Хэвлэсэн: (2024)

NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer
-н: Lyu, Tengfei, зэрэг
Хэвлэсэн: (2024)

Searth Transformer: A Transformer Architecture Incorporating Earth's Geospheric Physical Priors for Global Mid-Range Weather Forecasting
-н: Li, Tianye, зэрэг
Хэвлэсэн: (2026)

Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting
-н: Wang, Hongjun, зэрэг
Хэвлэсэн: (2025)

Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
-н: Zhang, Weijia, зэрэг
Хэвлэсэн: (2024)

SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
-н: Shen, ChengAo, зэрэг
Хэвлэсэн: (2025)

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
-н: Pang, Yining, зэрэг
Хэвлэсэн: (2024)

Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields
-н: Wang, Fu, зэрэг
Хэвлэсэн: (2026)

DiffScale: Continuous Downscaling and Bias Correction of Subseasonal Wind Speed Forecasts using Diffusion Models
-н: Springenberg, Maximilian, зэрэг
Хэвлэсэн: (2025)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
-н: Miranda, Miro, зэрэг
Хэвлэсэн: (2024)

Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning
-н: Mustajab, Abdul Hannan, зэрэг
Хэвлэсэн: (2024)

EVEREST: An Evidential, Tail-Aware Transformer for Rare-Event Time-Series Forecasting
-н: Zilinskas, Antanas, зэрэг
Хэвлэсэн: (2026)

Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model
-н: Wang, Wei, зэрэг
Хэвлэсэн: (2025)

Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
-н: Cao, Lingxiao, зэрэг
Хэвлэсэн: (2025)

Designing an efficient and equitable humanitarian supply chain dynamically via reinforcement learning
-н: Jin, Weijia
Хэвлэсэн: (2025)

Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction
-н: Guo, Zijie, зэрэг
Хэвлэсэн: (2024)

ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
-н: Tian, Jindong, зэрэг
Хэвлэсэн: (2025)

Expert System for Bitcoin Forecasting: Integrating Global Liquidity via TimeXer Transformers
-н: T, Sravan Karthick
Хэвлэсэн: (2025)

Revisiting Heat Flux Analysis of Tungsten Monoblock Divertor on EAST using Physics-Informed Neural Network
-н: Wang, Xiao, зэрэг
Хэвлэсэн: (2025)

VARMA-Enhanced Transformer for Time Series Forecasting
-н: Song, Jiajun, зэрэг
Хэвлэсэн: (2025)

Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
-н: Liu, Ziqi, зэрэг
Хэвлэсэн: (2025)