time series prediction

EpiRDN: A Learnable Anisotropic Reaction-Diffusion Network for Epidemic Time Series Prediction UAI 2026 PPGPT: Transferring Next-Token Modeling from Language to PPG Signals AAAI 2026 SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays SemEval 2026 Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction AAAI 2026 Bayesian Gaussian Process ODEs via Double Normalizing Flows AISTATS 2025 Error-quantified Conformal Inference for Time Series ICLR 2025 LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract) AAAI 2025 MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework With Multi-Layer Cloud Coverage IJCAI 2025 Modeling Latent Non-Linear Dynamical System over Time Series AAAI 2025 On the Benefits of Memory for Modeling Time-Dependent PDEs ICLR 2025 Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series WACV 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025 Attention-Based Models for Snow-Water Equivalent Prediction AAAI 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024 Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns ICLR 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction ICLR 2024 ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024 Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks ICML 2024 Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors AAAI 2024 SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model NeurIPS 2024 STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction ICLR 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks AAAI 2023