Co-occurring keywords · papers mentioning both
Papers
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
AAAI 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
AAAI 2025
Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern
IJCAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
AAAI 2025
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting
IJCAI 2025
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
AAAI 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
AAAI 2025
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution
ICLR 2025
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting
IJCAI 2025
Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
ICML 2025
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
IJCAI 2025
Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series
ICLR 2025
Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt
ICLR 2025
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
IJCAI 2025
Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality
EMNLP 2025
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
AAAI 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images
ICCV 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
AAAI 2025
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
ICLR 2025
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows
AAAI 2025
FACTS: A Factored State-Space Framework for World Modelling
ICLR 2025
Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models
ICLR 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
AAAI 2025