conftrace_

multivariate time series

182 papers

Explore in graph

Also known as

MTS

Co-occurring keywords · papers mentioning both

time series forecasting (60) anomaly detection (20) graph neural network (19) attention mechanism (16) representation learning (14) time series classification (13) convolutional neural network (10) probabilistic forecasting (10) transformer architecture (10) time series (9)

Papers

TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data AAAI 2025 Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025 WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting AAAI 2025 Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting NeurIPS 2024 AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting NeurIPS 2024 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition ICML 2024 Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values ICLR 2024 CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series ICML 2024 Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models NeurIPS 2024 ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions NeurIPS 2024 Conformal prediction for multi-dimensional time series by ellipsoidal sets ICML 2024 Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024 Diffusion-TS: Interpretable Diffusion for General Time Series Generation ICLR 2024 Frequency-aware Generative Models for Multivariate Time Series Imputation NeurIPS 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data AAAI 2024 GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings ICLR 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024 Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction IJCAI 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024 Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract) AAAI 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024