forecasting

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting ICML 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025 Context is Key: A Benchmark for Forecasting with Essential Textual Information ICML 2025 Directly Forecasting Belief for Reinforcement Learning with Delays ICML 2025 HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting ICML 2025 In-Context Fine-Tuning for Time-Series Foundation Models ICML 2025 Latent Diffusion Planning for Imitation Learning ICML 2025 Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting ICML 2025 SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields ICML 2025 Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators ICML 2025 TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting ICML 2025 A decoder-only foundation model for time-series forecasting ICML 2024 Explain Temporal Black-Box Models via Functional Decomposition ICML 2024 Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach ICML 2024 Loss Shaping Constraints for Long-Term Time Series Forecasting ICML 2024 Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning ICML 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement ICML 2024