| Language Models Still Struggle to Zero-shot Reason about Time Series | Apr 17, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Language Model Training Paradigms for Clinical Feature Embeddings | Nov 1, 2023 | Clinical KnowledgeDimensionality Reduction | CodeCode Available | 0 | 5 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 | 5 |
| A Subspace Method for Time Series Anomaly Detection in Cyber-Physical Systems | May 20, 2022 | Anomaly DetectionTime 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 |
| PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series | Nov 21, 2024 | Anomaly DetectionBenchmarking | 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 |
| A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours | Mar 31, 2024 | Time Series | CodeCode Available | 0 | 5 |
| LandCoverNet: A global benchmark land cover classification training dataset | Dec 5, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Koopman Ensembles for Probabilistic Time Series Forecasting | Mar 11, 2024 | Probabilistic Time Series ForecastingTime 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 |
| Astronomical image time series classification using CONVolutional attENTION (ConvEntion) | Apr 3, 2023 | ClassificationTime 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 |
| Knowledge Enhanced Conditional Imputation for Healthcare Time-series | Dec 27, 2023 | BenchmarkingImputation | CodeCode Available | 0 | 5 |
| Amortized Equation Discovery in Hybrid Dynamical Systems | Jun 6, 2024 | Equation DiscoveryTime Series | CodeCode Available | 0 | 5 |
| AALF: Almost Always Linear Forecasting | Sep 16, 2024 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Knowledge Enhanced Neural Fashion Trend Forecasting | May 7, 2020 | Time SeriesTime Series Analysis | 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 |
| Learnable Dynamic Temporal Pooling for Time Series Classification | Apr 2, 2021 | ClassificationDynamic Time Warping | CodeCode Available | 0 | 5 |
| Kernel Change-point Detection with Auxiliary Deep Generative Models | Jan 18, 2019 | Change Point DetectionTime Series | CodeCode Available | 0 | 5 |
| Kernel-based Joint Independence Tests for Multivariate Stationary and Non-stationary Time Series | May 15, 2023 | Time Series | 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 |
| KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection | Mar 16, 2025 | Anomaly DetectionModel Selection | CodeCode Available | 0 | 5 |
| A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data | Mar 7, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Joint Manifold Learning and Optimal Transport for Dynamic Imaging | May 17, 2025 | Time Series | CodeCode Available | 0 | 5 |
