Time Series Analysis

Mapping ‘when’-clauses in Latin American and Caribbean languages: an experiment in subtoken-based typology NAACL 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 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024 TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series ICLR 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series NeurIPS 2024 Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting ICLR 2023 CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NeurIPS 2023 Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths ICLR 2023 Deep Latent State Space Models for Time-Series Generation ICML 2023 Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain ACML 2023 DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting NeurIPS 2023 Recursive Time Series Data Augmentation ICLR 2023 SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise NeurIPS 2023 Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance AAAI 2022 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows ICLR 2021 Probabilistic Transformer For Time Series Analysis NeurIPS 2021 Spatio-Temporal Variational Gaussian Processes NeurIPS 2021 Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021 Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory AAAI 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020