| A Modular End-to-End Multimodal Learning Method for Structured and Unstructured Data | Mar 7, 2024 | Time Series | CodeCode Available | 0 | 5 |
| Latent Neural Stochastic Differential Equations for Change Point Detection | Aug 22, 2022 | Change Point DetectionTime Series | CodeCode Available | 0 | 5 |
| A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information | Nov 19, 2024 | DenoisingTime Series | CodeCode Available | 0 | 5 |
| Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings | Dec 1, 2020 | Functional ConnectivityTime Series | CodeCode Available | 0 | 5 |
| A SSM is Polymerized from Multivariate Time Series | Sep 30, 2024 | MambaState Space Models | CodeCode Available | 0 | 5 |
| A Model of the Fed's View on Inflation | Jun 25, 2020 | modelTime Series | CodeCode Available | 0 | 5 |
| LARNN: Linear Attention Recurrent Neural Network | Aug 16, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Asset Price Forecasting using Recurrent Neural Networks | Oct 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Large Transformers are Better EEG Learners | Aug 20, 2023 | Activity RecognitionEEG | CodeCode Available | 0 | 5 |
| LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modeling | May 22, 2025 | Model Selectionparameter estimation | CodeCode Available | 0 | 5 |
| Latent Ordinary Differential Equations for Irregularly-Sampled Time Series | Dec 1, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Learning compressed representations of blood samples time series with missing data | Oct 20, 2017 | General ClassificationMissing Values | CodeCode Available | 0 | 5 |
| Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment | May 23, 2019 | Tensor DecompositionTime Series | CodeCode Available | 0 | 5 |
| Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer | Jun 6, 2024 | Scene ClassificationTime Series | CodeCode Available | 0 | 5 |
| AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting | Oct 30, 2023 | DecoderDiversity | CodeCode Available | 0 | 5 |
| Large Linear Multi-output Gaussian Process Learning | May 30, 2017 | Gaussian ProcessesTime Series | CodeCode Available | 0 | 5 |
| Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs | Oct 28, 2019 | Change DetectionManagement | CodeCode Available | 0 | 5 |
| Language Model Training Paradigms for Clinical Feature Embeddings | Nov 1, 2023 | Clinical KnowledgeDimensionality Reduction | CodeCode Available | 0 | 5 |
| A CNN adapted to time series for the classification of Supernovae | Jan 2, 2019 | Binary ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity | Jul 2, 2024 | Demand ForecastingTime Series | CodeCode Available | 0 | 5 |
| LandCoverNet: A global benchmark land cover classification training dataset | Dec 5, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| A method to benchmark high-dimensional process drift detection | Sep 5, 2024 | Drift DetectionTime Series | CodeCode Available | 0 | 5 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 | 5 |
| Assessing Differentially Private Variational Autoencoders under Membership Inference | Apr 16, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring | May 16, 2022 | Time SeriesTime Series Analysis | 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-DARTS: Stable Model Selection for Data Repair in Time Series | May 1, 2025 | AutoMLImputation | 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 |
| Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records | Jan 18, 2022 | Language ModellingPrediction | 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 |
| Language Models Still Struggle to Zero-shot Reason about Time Series | Apr 17, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Learning Deep Dissipative Dynamics | Aug 21, 2024 | LEMMATime Series | CodeCode Available | 0 | 5 |
| Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise | Dec 10, 2023 | Causal InferenceTime Series | CodeCode Available | 0 | 5 |
| KnotResolver: Tracking self-intersecting filaments in microscopy using directed graphs | Apr 18, 2024 | Contour DetectionObject Tracking | 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 |
| AdaRNN: Adaptive Learning and Forecasting of Time Series | Aug 10, 2021 | Activity RecognitionFinancial Analysis | CodeCode Available | 0 | 5 |
| Knowledge Enhanced Conditional Imputation for Healthcare Time-series | Dec 27, 2023 | BenchmarkingImputation | 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 |
| A 1d convolutional network for leaf and time series classification | Jun 28, 2019 | General ClassificationTime Series | CodeCode Available | 0 | 5 |
| Kernel Change-point Detection with Auxiliary Deep Generative Models | Jan 18, 2019 | Change Point DetectionTime 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 |
| Knowledge Enhanced Neural Fashion Trend Forecasting | May 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| A signature-based machine learning model for bipolar disorder and borderline personality disorder | Jul 22, 2017 | BIG-bench Machine LearningTime Series | CodeCode Available | 0 | 5 |
| A Memory-Network Based Solution for Multivariate Time-Series Forecasting | Sep 6, 2018 | Multivariate Time Series ForecastingQuestion Answering | CodeCode Available | 0 | 5 |
| Robust Explainer Recommendation for Time Series Classification | Jun 8, 2023 | Activity RecognitionClassification | CodeCode Available | 0 | 5 |
| A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case | Jan 19, 2022 | ManagementTime Series | CodeCode Available | 0 | 5 |
| Joint Parameter Discovery and Generative Modeling of Dynamic Systems | Mar 19, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series | Aug 5, 2024 | Anomaly DetectionAstronomy | CodeCode Available | 0 | 5 |
| Joint Manifold Learning and Optimal Transport for Dynamic Imaging | May 17, 2025 | Time Series | CodeCode Available | 0 | 5 |
| Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection | May 30, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |