time series forecasting

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025 TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting ICLR 2025 Tsururu: A Python-based Time Series Forecasting Strategies Library IJCAI 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025 VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025 VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters ICML 2025 WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting AAAI 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting ICML 2025 Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation IJCAI 2025 Winner-takes-all for Multivariate Probabilistic Time Series Forecasting ICML 2025 WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting AAAI 2025 xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition AAAI 2025 ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish ICLR 2025 Zero-shot forecasting of chaotic systems ICLR 2025 S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting ICML 2024 Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting NeurIPS 2024 Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NeurIPS 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NeurIPS 2024 aeon: a Python Toolkit for Learning from Time Series JMLR 2024 An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters JMLR 2024 Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting NeurIPS 2024 An Analysis of Linear Time Series Forecasting Models ICML 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 Are Language Models Actually Useful for Time Series Forecasting? NeurIPS 2024