time series forecasting

Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 Memory Augmented State Space Model for Time Series Forecasting IJCAI 2022 Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors AAAI 2022 Multi-Type Urban Crime Prediction AAAI 2022 Multivariate Boosted Trees and Applications to Forecasting and Control JMLR 2022 Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NeurIPS 2022 Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NeurIPS 2022 Nystrom Regularization for Time Series Forecasting JMLR 2022 Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract) IJCAI 2022 Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting ICLR 2022 Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022 Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift ICLR 2022 SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction NeurIPS 2022 TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting ICLR 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022 TS2Vec: Towards Universal Representation of Time Series AAAI 2022 Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes ICML 2022 Wasserstein Adversarial Transformer for Cloud Workload Prediction AAAI 2022 WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting NeurIPS 2022 Adjusting for Autocorrelated Errors in Neural Networks for Time Series NeurIPS 2021 A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting AAAI 2021 An Optimal Reduction of TV-Denoising to Adaptive Online Learning AISTATS 2021 Conformal prediction interval for dynamic time-series ICML 2021