conftrace_

multivariate time series

139 papers

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Also known as

MTS

Co-occurring keywords

time series forecasting (364) attention mechanism (4001) anomaly detection (747) representation learning (6206) graph neural network (3962) convolutional neural network (4226) time series classification (97) time series (435) time series imputation (19) transformer architecture (1560)

Papers

Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models NIPS 2024
Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024
Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NIPS 2024
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting IJCAI 2024
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NIPS 2023
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series AAAI 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting AAAI 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series AAAI 2023
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models AAAI 2023
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting ACML 2023
Learning Perturbations to Explain Time Series Predictions ICML 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series ICML 2023
Feature Programming for Multivariate Time Series Prediction ICML 2023
PrimeNet: Pre-training for Irregular Multivariate Time Series AAAI 2023
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification AAAI 2023
DuETT: Dual Event Time Transformer for Electronic Health Records MLHC 2023
Meta-Learning for Fast Model Recommendation in Unsupervised Multivariate Time Series Anomaly Detection AUTOML 2023
Detecting Multivariate Time Series Anomalies with Zero Known Label AAAI 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies AAAI 2023
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection NIPS 2023