| Learning Temporal Causal Sequence Relationships from Real-Time Time-Series | May 29, 2019 | Anomaly DetectionTime Series | —Unverified | 0 |
| Learning the Non-linearity in Convolutional Neural Networks | May 29, 2019 | Data AugmentationTime Series | —Unverified | 0 |
| Graph-based era segmentation of international financial integration | May 28, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Exploring Interpretable LSTM Neural Networks over Multi-Variable Data | May 28, 2019 | PredictionTime Series | CodeCode Available | 0 |
| Deep Factors for Forecasting | May 28, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Evaluating time series forecasting models: An empirical study on performance estimation methods | May 28, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| BreizhCrops: A Time Series Dataset for Crop Type Mapping | May 28, 2019 | Crop Type MappingTime Series | CodeCode Available | 0 |
| Kernel Estimation for Panel Data with Heterogeneous Dynamics | May 27, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| ODE^2VAE: Deep generative second order ODEs with Bayesian neural networks | May 27, 2019 | Imputationmotion prediction | CodeCode Available | 0 |
| TrendNets: Mapping Emerging Research Trends From Dynamic Co-Word Networks via Sparse Representation | May 27, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Topological Data Analysis of Time Series Data for B2B Customer Relationship Management | May 26, 2019 | ClusteringManagement | —Unverified | 0 |
| Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding | May 26, 2019 | Demand ForecastingTime Series | CodeCode Available | 0 |
| Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models | May 26, 2019 | Bayesian InferenceCausal Discovery | —Unverified | 0 |
| Type-Driven Automated Learning with Lale | May 24, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Style Transfer with Time Series: Generating Synthetic Financial Data | May 24, 2019 | Deep LearningDimensionality Reduction | —Unverified | 0 |
| Sequential Gaussian Processes for Online Learning of Nonstationary Functions | May 24, 2019 | Gaussian ProcessesHyperparameter Optimization | CodeCode Available | 0 |
| Neural Jump Stochastic Differential Equations | May 24, 2019 | Point ProcessesTime Series | CodeCode Available | 1 |
| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting | May 24, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 3 |
| Generative adversarial network based on chaotic time series | May 24, 2019 | Generative Adversarial NetworkTime Series | —Unverified | 0 |
| Devil in the Detail: Attack Scenarios in Industrial Applications | May 24, 2019 | Anomaly DetectionTime Series | —Unverified | 0 |
| Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment | May 23, 2019 | Tensor DecompositionTime Series | CodeCode Available | 0 |
| Robust guarantees for learning an autoregressive filter | May 23, 2019 | Reinforcement LearningTime Series | —Unverified | 0 |
| Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis | May 23, 2019 | Computational EfficiencyDimensionality Reduction | CodeCode Available | 0 |
| CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation | May 23, 2019 | ImputationMachine Translation | CodeCode Available | 0 |
| Fully Neural Network based Model for General Temporal Point Processes | May 23, 2019 | Point ProcessesTime Series | CodeCode Available | 0 |
