| Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models | Nov 1, 2021 | Stock Price PredictionTime Series | —Unverified | 0 |
| Sig-Wasserstein GANs for Time Series Generation | Nov 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE | Oct 30, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| ECG synthesis with Neural ODE and GAN models | Oct 30, 2021 | Generative Adversarial NetworkTime Series | —Unverified | 0 |
| Robust and efficient change point detection using novel multivariate rank-energy GoF test | Oct 29, 2021 | Change Point DetectionTime Series | —Unverified | 0 |
| Aligned Multi-Task Gaussian Process | Oct 29, 2021 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations | Oct 29, 2021 | Causal DiscoveryCausal Inference | —Unverified | 0 |
| Improved FRQI on superconducting processors and its restrictions in the NISQ era | Oct 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach | Oct 28, 2021 | ClusteringMeta-Learning | —Unverified | 0 |
| Multi-Task Neural Processes | Oct 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography | Oct 28, 2021 | Generative Adversarial NetworkTime Series | CodeCode Available | 0 |
| Coresets for Time Series Clustering | Oct 28, 2021 | ClusteringTime Series | —Unverified | 0 |
| Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models | Oct 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Deeptime: a Python library for machine learning dynamical models from time series data | Oct 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Warped Dynamic Linear Models for Time Series of Counts | Oct 27, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series | Oct 27, 2021 | Graph AttentionTime Series | —Unverified | 0 |
| Forecasting with a Panel Tobit Model | Oct 27, 2021 | modelTime Series | —Unverified | 0 |
| MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data | Oct 27, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Testing and Estimating Structural Breaks in Time Series and Panel Data in Stata | Oct 27, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Validation Methods for Energy Time Series Scenarios from Deep Generative Models | Oct 27, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| ClaSP - Time Series Segmentation | Oct 26, 2021 | Change Point DetectionSegmentation | CodeCode Available | 1 |
| Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers | Oct 26, 2021 | Computational Efficiencyimage-classification | —Unverified | 0 |
| Cluster-and-Conquer: A Framework For Time-Series Forecasting | Oct 26, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Non-Gaussian Gaussian Processes for Few-Shot Regression | Oct 26, 2021 | Few-Shot LearningGaussian Processes | CodeCode Available | 1 |
| Deep Explicit Duration Switching Models for Time Series | Oct 26, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
