| On Policy Evaluation with Aggregate Time-Series Shocks | May 31, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse | Aug 5, 2021 | Change DetectionPose Estimation | —Unverified | 0 | 0 |
| An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks | Dec 8, 2020 | BIG-bench Machine LearningExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| Learning noise-induced transitions by multi-scaling reservoir computing | Sep 11, 2023 | Protein FoldingTime Series | —Unverified | 0 | 0 |
| On reconstructing high derivatives of noisy time-series with confidence intervals | Mar 7, 2025 | Time Series | —Unverified | 0 | 0 |
| Learning Network of Multivariate Hawkes Processes: A Time Series Approach | Mar 14, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On Robust Inference in Time Series Regression | Mar 8, 2022 | regressionTime Series | —Unverified | 0 | 0 |
| Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1 | Aug 11, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series | Nov 15, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On stabilizing the variance of dynamic functional brain connectivity time series | Apr 13, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data | Jun 25, 2025 | Time SeriesVariable Selection | —Unverified | 0 | 0 |
| Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Recurrent Modelling of Granger Causality with Latent Confounding | Feb 23, 2022 | DecoderTime Series | —Unverified | 0 | 0 |
| On the balance between the training time and interpretability of neural ODE for time series modelling | Jun 7, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On the Benefits of Biophysical Synapses | Mar 8, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On the benefits of maximum likelihood estimation for Regression and Forecasting | Jun 18, 2021 | regressionTime Series | —Unverified | 0 | 0 |
| On The Complexity of Sparse Label Propagation | Apr 25, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On the Constrained Time-Series Generation Problem | Jul 4, 2023 | counterfactualTime Series | —Unverified | 0 | 0 |
| On the Duality between Network Flows and Network Lasso | Oct 4, 2019 | ClusteringTime Series | —Unverified | 0 | 0 |
| A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction | Aug 2, 2020 | Contrastive LearningDimensionality Reduction | —Unverified | 0 | 0 |
| Learning Mixtures of Linear Dynamical Systems | Jan 26, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| On the Generalization and Approximation Capacities of Neural Controlled Differential Equations | May 26, 2023 | Time Series | —Unverified | 0 | 0 |
| Learning Linear Dynamical Systems with High-Order Tensor Data for Skeleton based Action Recognition | Jan 14, 2017 | Action RecognitionDictionary Learning | —Unverified | 0 | 0 |
| Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters | Sep 6, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Visibility Graph Averaging Aggregation Operator | Nov 17, 2013 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |