| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Review of Graph Neural Networks and Their Applications in Power Systems | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Multi-Time Attention Networks for Irregularly Sampled Time Series | Jan 25, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Interpretable Models for Granger Causality Using Self-explaining Neural Networks | Jan 19, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Discrete Graph Structure Learning for Forecasting Multiple Time Series | Jan 18, 2021 | Graph structure learningTime Series | CodeCode Available | 1 |
| Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data | Jan 12, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Predicting Patient Outcomes with Graph Representation Learning | Jan 11, 2021 | Graph Representation LearningLength-of-Stay prediction | CodeCode Available | 1 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Do We Really Need Deep Learning Models for Time Series Forecasting? | Jan 6, 2021 | Deep Learningregression | CodeCode Available | 1 |
| Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | Jan 1, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space | Jan 1, 2021 | Data AugmentationTime Series | CodeCode Available | 1 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 |
| Towards Automated Satellite Conjunction Management with Bayesian Deep Learning | Dec 23, 2020 | Collision AvoidanceDeep Learning | CodeCode Available | 1 |
| Score Matched Neural Exponential Families for Likelihood-Free Inference | Dec 20, 2020 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection | Dec 17, 2020 | Malware DetectionTime Series | CodeCode Available | 1 |
| MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification | Dec 16, 2020 | General ClassificationTime Series | CodeCode Available | 1 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Dec 14, 2020 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Intrinsic persistent homology via density-based metric learning | Dec 11, 2020 | Anomaly DetectionMetric Learning | CodeCode Available | 1 |
| Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification | Dec 9, 2020 | Anomaly DetectionAtrial Fibrillation Detection | CodeCode Available | 1 |
| Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution | Dec 2, 2020 | Causal InferenceGPU | CodeCode Available | 1 |
| Weak Form Generalized Hamiltonian Learning | Dec 1, 2020 | FormTime Series | CodeCode Available | 1 |
| Adversarial Sparse Transformer for Time Series Forecasting | Dec 1, 2020 | Multivariate Time Series ForecastingPrediction | CodeCode Available | 1 |
| Probabilistic Time Series Forecasting with Shape and Temporal Diversity | Dec 1, 2020 | DiversityPoint Processes | CodeCode Available | 1 |
| AGNet: Weighing Black Holes with Machine Learning | Nov 30, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
