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Time Series Analysis

826 directly classified papers

Papers per year

Papers

An Online Bootstrap for Time Series AISTATS 2024
Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024
Shape analysis for time series NIPS 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024
Learning from Highly Sparse Spatio-temporal Data NIPS 2024
EasyTS: The Express Lane to Long Time Series Forecasting AAAI 2024
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NIPS 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NIPS 2024
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024
Scaling Law for Time Series Forecasting NIPS 2024
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data AAAI 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NIPS 2024
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation AAAI 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities NIPS 2024
CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models AAAI 2024
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NIPS 2024
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection AAAI 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NIPS 2024