Time Series

Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract) AAAI 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 The Merit of River Network Topology for Neural Flood Forecasting ICML 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NeurIPS 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 Towards Editing Time Series NeurIPS 2024 Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024 U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024 UniTS: A Unified Multi-Task Time Series Model NeurIPS 2024 Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024 Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models AAAI 2024 Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment ICML 2024 A Contrastive Approach to Online Change Point Detection AISTATS 2023 AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023 A New Modeling Framework for Continuous, Sequential Domains AISTATS 2023 AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series AAAI 2023 Conformal PID Control for Time Series Prediction NeurIPS 2023 Conformal Prediction for Time Series with Modern Hopfield Networks NeurIPS 2023 Context Consistency Regularization for Label Sparsity in Time Series ICML 2023 Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series NeurIPS 2023 CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NeurIPS 2023 Deep Latent State Space Models for Time-Series Generation ICML 2023