Time Series

FITS: Modeling Time Series with $10k$ Parameters ICLR 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024 Let's do the time-warp-attend: Learning topological invariants of dynamical systems ICLR 2024 Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data ICLR 2024 ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis ICLR 2024 Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting ACML 2024 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 A Time Series is Worth 64 Words: Long-term Forecasting with Transformers ICLR 2023 Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting ICLR 2023 Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain ACML 2023 Recursive Time Series Data Augmentation ICLR 2023 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022 GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NeurIPS 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 Neural graphical modelling in continuous-time: consistency guarantees and algorithms ICLR 2022 Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data ICLR 2022 Wasserstein Adversarial Transformer for Cloud Workload Prediction AAAI 2022 A Temporal Kernel Approach for Deep Learning with Continuous-time Information ICLR 2021 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021 Contrastive Neural Processes for Self-Supervised Learning ACML 2021 Detecting Anomalous Event Sequences with Temporal Point Processes NeurIPS 2021 Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows ICLR 2021 Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems AAAI 2021