| Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning | Nov 27, 2020 | RelationRelational Reasoning | CodeCode Available | 1 | 5 |
| Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series | Jul 29, 2021 | ImputationMortality Prediction | CodeCode Available | 1 | 5 |
| Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs | Apr 10, 2025 | Multimodal Large Language ModelTime Series | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| PCF-GAN: generating sequential data via the characteristic function of measures on the path space | May 21, 2023 | Time SeriesTime Series Generation | CodeCode Available | 1 | 5 |
| TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks | Aug 21, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| ES-dRNN with Dynamic Attention for Short-Term Load Forecasting | Mar 2, 2022 | Load ForecastingTime Series | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model | Apr 9, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting | Dec 5, 2021 | Load ForecastingTime Series | CodeCode Available | 1 | 5 |
| LandCoverNet: A global benchmark land cover classification training dataset | Dec 5, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification | Mar 23, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 | 5 |
| Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study | May 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 | 5 |
| Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records | Jan 18, 2022 | Language ModellingPrediction | CodeCode Available | 0 | 5 |
| Koopman Ensembles for Probabilistic Time Series Forecasting | Mar 11, 2024 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 0 | 5 |
| Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data | Sep 18, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Language Models Still Struggle to Zero-shot Reason about Time Series | Apr 17, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Knowledge Enhanced Conditional Imputation for Healthcare Time-series | Dec 27, 2023 | BenchmarkingImputation | CodeCode Available | 0 | 5 |
| Knowledge Enhanced Neural Fashion Trend Forecasting | May 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Temporal Subspace Clustering for Molecular Dynamics Data | Jul 31, 2024 | ClusteringTime Series | CodeCode Available | 0 | 5 |
| Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis | Aug 14, 2024 | Adversarial RobustnessKolmogorov-Arnold Networks | CodeCode Available | 0 | 5 |
| k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences | Aug 8, 2020 | ClusteringTime Series | CodeCode Available | 0 | 5 |
| A Multi-Horizon Quantile Recurrent Forecaster | Nov 29, 2017 | quantile regressionregression | CodeCode Available | 0 | 5 |
