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Time Series

431 directly classified papers

Papers per year

Papers

Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NIPS 2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NIPS 2024
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NIPS 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024
Disentangling Domain and General Representations for Time Series Classification IJCAI 2024
Causal Contrastive Learning for Counterfactual Regression Over Time NIPS 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation NIPS 2024
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NIPS 2024
MULTICOLLAB: A Multimodal Corpus of Dialogues for Analyzing Collaboration and Frustration in Language COLING 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks NIPS 2024
Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024
Financial Forecasting from Textual and Tabular Time Series EMNLP 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NIPS 2024
Conditioning non-linear and infinite-dimensional diffusion processes NIPS 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NIPS 2024
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024
Probabilistic Querying of Continuous-Time Event Sequences AISTATS 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction AAAI 2023