| Source Model Selection for Deep Learning in the Time Series Domain | Jan 3, 2020 | Model SelectionTime Series | CodeCode Available | 1 |
| Variable-lag Granger Causality for Time Series Analysis | Dec 18, 2019 | Causal InferenceLeadership Inference | CodeCode Available | 1 |
| High-Dimensional Granger Causality Tests with an Application to VIX and News | Dec 13, 2019 | regressionTime Series | CodeCode Available | 1 |
| Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks | Dec 1, 2019 | Sequential Image ClassificationTime Series | CodeCode Available | 1 |
| Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition | Nov 18, 2019 | Graph EmbeddingKnowledge Graph Completion | CodeCode Available | 1 |
| U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging | Oct 24, 2019 | Deep LearningEEG | CodeCode Available | 1 |
| Spatio-Temporal Alignments: Optimal transport through space and time | Oct 9, 2019 | Dynamic Time WarpingTime Series | CodeCode Available | 1 |
| Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models | Sep 19, 2019 | Change DetectionDynamic Time Warping | CodeCode Available | 1 |
| Synthesis of Realistic ECG using Generative Adversarial Networks | Sep 19, 2019 | De-identificationInference Attack | CodeCode Available | 1 |
| InceptionTime: Finding AlexNet for Time Series Classification | Sep 11, 2019 | Deep LearningGeneral Classification | CodeCode Available | 1 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 |
| Efficient Cross-Validation of Echo State Networks | Aug 22, 2019 | One-Shot LearningTime Series | CodeCode Available | 1 |
| General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping | Jul 11, 2019 | Dynamic Time WarpingNavigate | CodeCode Available | 1 |
| Latent ODEs for Irregularly-Sampled Time Series | Jul 8, 2019 | Multivariate Time Series ForecastingMultivariate Time Series Imputation | CodeCode Available | 1 |
| Financial Time Series Data Processing for Machine Learning | Jul 3, 2019 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 1 |
| Time-Series Anomaly Detection Service at Microsoft | Jun 10, 2019 | Anomaly DetectionSaliency Detection | CodeCode Available | 1 |
| GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series | May 29, 2019 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Neural Jump Stochastic Differential Equations | May 24, 2019 | Point ProcessesTime Series | CodeCode Available | 1 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 |
| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| DeepMoD: Deep learning for Model Discovery in noisy data | Apr 20, 2019 | Deep LearningModel Discovery | CodeCode Available | 1 |
| Forecasting with time series imaging | Apr 17, 2019 | Model SelectionTime Series | CodeCode Available | 1 |
| Efficient Optimization of Echo State Networks for Time Series Datasets | Mar 12, 2019 | AstronomyBayesian Optimization | CodeCode Available | 1 |
| Learning the dynamics of technical trading strategies | Mar 6, 2019 | Dimensionality ReductionTime Series | CodeCode Available | 1 |
| Insights into LSTM Fully Convolutional Networks for Time Series Classification | Feb 27, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 |
