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Time Series Analysis

1,017 papers

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Papers

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting IJCAI 2024 SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series IJCAI 2024 Speech Rate and Salient Syllables Position in Spontaneous Speech of Children with Autism Spectrum Disorder COLING 2024 Stationarity without mean reversion in improper Gaussian processes ICML 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach IJCAI 2024 Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NeurIPS 2024 Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods IJCAI 2024 Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models AAAI 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NeurIPS 2024 THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract) AAAI 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NeurIPS 2024 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling ICML 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 Time Weaver: A Conditional Time Series Generation Model ICML 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NeurIPS 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck ICML 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series JMLR 2024 Towards a Quantitative Analysis of Coarticulation with a Phoneme-to-Articulatory Model Interspeech 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 Towards Editing Time Series NeurIPS 2024