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