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MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter

FACTS: A Future-Aided Causal Teacher-Student Framework for Multimodal Time Series Forecasting

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting

Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault Diagnosis

Fusing Deep Neural Networks with Multi-PDE Solvers: An Enhanced Approach to Battery Modeling

Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

LightGTS: A Lightweight General Time Series Forecasting Model

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders

ROSE: Register-Assisted General Time Series Forecasting with Decomposed Frequency Learning