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Time Series Analysis

826 directly classified papers

Papers per year

Papers

Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NIPS 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NIPS 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NIPS 2022
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NIPS 2022
Learning Latent Seasonal-Trend Representations for Time Series Forecasting NIPS 2022
An Empirical Study on Topic Preservation in Multi-Document Summarization AACL 2022
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation INTERSPEECH 2022
When to Classify Events in Open Times Series? ACML 2022
Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility ACML 2022
Continuous-time edge modelling using non-parametric point processes NIPS 2021
Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting IJCAI 2021
Bayesian time-aligned factor analysis of paired multivariate time series JMLR 2021
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data IJCAI 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021
Graph Gamma Process Linear Dynamical Systems AISTATS 2021
Dynamic Tensor Recommender Systems JMLR 2021
Subseasonal climate prediction in the western US using Bayesian spatial models UAI 2021
Topological Attention for Time Series Forecasting NIPS 2021
Probabilistic Sequential Matrix Factorization AISTATS 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NIPS 2021
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NIPS 2021
A nonparametric method for gradual change problems with statistical guarantees NIPS 2021
Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021