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Time Series Analysis
826 directly classified papers
Papers per year
2005: 1
2006: 9
2007: 6
2008: 6
2009: 7
2010: 7
2011: 12
2012: 15
2013: 21
2014: 13
2015: 10
2016: 22
2017: 25
2018: 35
2019: 56
2020: 64
2021: 83
2022: 71
2023: 110
2024: 138
2025: 107
2026: 8
Papers
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
IJCAI 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
IJCAI 2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
IJCAI 2024
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
AAAI 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
IJCAI 2024
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series
IJCAI 2024
Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting
IJCAI 2024
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
AAAI 2024
Latent Diffusion Transformer for Probabilistic Time Series Forecasting
AAAI 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
AAAI 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
NIPS 2024
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
AAAI 2024
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
AAAI 2024
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
CVPR 2024
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
AISTATS 2024
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow
AAAI 2024
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers
IJCAI 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data
AISTATS 2024
Unsupervised Change Point Detection in Multivariate Time Series
AISTATS 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
JMLR 2024
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees
AISTATS 2024
An Online Bootstrap for Time Series
AISTATS 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
AAAI 2024
Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series
JMLR 2024
Better Batch for Deep Probabilistic Time Series Forecasting
AISTATS 2024
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