Cover Image

Dual-Scale Temporal Fusion Reveals Structured Predictability in Subseasonal-to-Seasonal Temperature Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bashir, Elnaz, Wang, Jiali, Yan, Lin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
by: Gao, Yuan, et al.
Published: (2025)

Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
by: Chen, Haoyuan, et al.
Published: (2025)

Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting
by: Lyu, Tengfei, et al.
Published: (2025)

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
by: Liu, Yang, et al.
Published: (2025)

SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting
by: Zhou, Ziyu, et al.
Published: (2026)

TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State
by: Li, Guowen, et al.
Published: (2025)

Airport Delay Prediction with Temporal Fusion Transformers
by: Liu, Ke, et al.
Published: (2024)

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
by: Mouatadid, Soukayna, et al.
Published: (2021)

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction
by: Shi, Jiazhao, et al.
Published: (2025)

Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
by: Lindas, Eloi, et al.
Published: (2025)

STFM: A Spatio-Temporal Information Fusion Model Based on Phase Space Reconstruction for Sea Surface Temperature Prediction
by: Wang, Yin, et al.
Published: (2025)

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
by: Guo, Yizhen, et al.
Published: (2024)

Diffusion-based Generative Machine Learning Model for Predicting Crack Propagation in Aluminum Nitride at the Atomic Scale
by: Lu, Jiali, et al.
Published: (2026)

Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model
by: Mu, Bin, et al.
Published: (2025)

On Temperature Scaling and Conformal Prediction of Deep Classifiers
by: Dabah, Lahav, et al.
Published: (2024)

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction
by: Yan, Bencheng, et al.
Published: (2025)

MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
by: Pu, Cunlai, et al.
Published: (2025)

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
by: Michail, Dimitrios, et al.
Published: (2024)

Flight Trajectory Prediction Using an Enhanced CNN-LSTM Network
by: Hao, Qinzhi, et al.
Published: (2024)

Higher-order Structure Boosts Link Prediction on Temporal Graphs
by: Liu, Jingzhe, et al.
Published: (2025)

Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion
by: Chen, Xiaolu, et al.
Published: (2025)

Stock Prediction via a Dual Relation Fusion Network incorporating Static and Dynamic Relations
by: Chen, Long, et al.
Published: (2025)

Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure
by: Lin, Jihao Andreas, et al.
Published: (2024)

Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction
by: Hu, Jiacheng, et al.
Published: (2025)

Emergent Granger Causality in Neural Networks: Can Prediction Alone Reveal Structure?
by: Sultan, Malik Shahid, et al.
Published: (2025)

Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)

IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
by: Xu, Jingyi, et al.
Published: (2026)

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware
by: Liu, Chaoqun, et al.
Published: (2024)

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

Explainable AI for Smart Greenhouse Control: Interpretability of Temporal Fusion Transformer in the Internet of Robotic Things
by: Bashir, Muhammad Jawad, et al.
Published: (2025)

Efficient Temporal Tokenization for Mobility Prediction with Large Language Models
by: He, Haoyu, et al.
Published: (2025)

Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction
by: Guan, Hannah, et al.
Published: (2026)

xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
by: Li, Quan, et al.
Published: (2025)

FOS: A Large-Scale Temporal Graph Benchmark for Scientific Interdisciplinary Link Prediction
by: Rezaee, Kiyan, et al.
Published: (2025)

Conformal Prediction for Signal Temporal Logic Inference
by: Li, Danyang, et al.
Published: (2025)

Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction
by: Xue, Xiaosha, et al.
Published: (2025)

Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales
by: Luo, Shiyuan, et al.
Published: (2025)

Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
by: Chen, Runfei
Published: (2026)

Dual Latent State Learning: Exploiting Regional Network Similarities for QoS Prediction
by: Wang, Ziliang, et al.
Published: (2023)

Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)