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| Learning compressed representations of blood samples time series with missing data | Oct 20, 2017 | General ClassificationMissing Values | CodeCode Available | 0 |
| Learning collective multi-cellular dynamics from temporal scRNA-seq via a transformer-enhanced Neural SDE | May 22, 2025 | BenchmarkingTime Series | CodeCode Available | 0 |
| Learning CHARME models with neural networks | Feb 8, 2020 | Learning TheoryMixture-of-Experts | CodeCode Available | 0 |
| Deep Markov Spatio-Temporal Factorization | Mar 22, 2020 | ClusteringTime Series | CodeCode Available | 0 |
| DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM | Apr 5, 2024 | Deep Learningfeature selection | CodeCode Available | 0 |
| Learnable Path in Neural Controlled Differential Equations | Jan 11, 2023 | DecoderIrregular Time Series | CodeCode Available | 0 |
| Learnable Group Transform For Time-Series | Jan 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Learnable Dynamic Temporal Pooling for Time Series Classification | Apr 2, 2021 | ClassificationDynamic Time Warping | CodeCode Available | 0 |
| Deep-Learnt Classification of Light Curves | Sep 19, 2017 | AstronomyClassification | CodeCode Available | 0 |
| Latent Variable Time-varying Network Inference | Feb 12, 2018 | SociologyTime Series | CodeCode Available | 0 |
| Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation | Sep 13, 2024 | ImputationMultivariate Time Series Imputation | CodeCode Available | 0 |
| Latent Processes Identification From Multi-View Time Series | May 14, 2023 | Contrastive LearningTime Series | CodeCode Available | 0 |
| Latent Ordinary Differential Equations for Irregularly-Sampled Time Series | Dec 1, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Latent Neural Stochastic Differential Equations for Change Point Detection | Aug 22, 2022 | Change Point DetectionTime Series | CodeCode Available | 0 |
| Deep Learning for Time Series Forecasting: The Electric Load Case | Jul 22, 2019 | Deep Learningimage-classification | CodeCode Available | 0 |
| Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction | Mar 6, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Autoregressive Convolutional Neural Networks for Asynchronous Time Series | Mar 12, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings | Dec 1, 2020 | Functional ConnectivityTime Series | CodeCode Available | 0 |
| LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modeling | May 22, 2025 | Model Selectionparameter estimation | CodeCode Available | 0 |
| LARNN: Linear Attention Recurrent Neural Network | Aug 16, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Large Transformers are Better EEG Learners | Aug 20, 2023 | Activity RecognitionEEG | CodeCode Available | 0 |
| AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge | Jul 28, 2021 | AutoMLFeature Engineering | CodeCode Available | 0 |
| An Effective WGAN-based Anomaly Detection Model for loT Multivariate Time Series Published on Pacific-Asia Conference on Knowledge Discovery and Data Mining | May 27, 2023 | PredictionTime Series | CodeCode Available | 0 |
| A Complex Systems Approach To Feature Extraction for Chaotic Behavior Recognition | Feb 15, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |