| On model selection for scalable time series forecasting in transport networks | Nov 29, 2019 | ClusteringDeep Learning | —Unverified | 0 |
| Information Theory Inspired Pattern Analysis for Time-series Data | Feb 22, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Learned Feature Importance Scores for Automated Feature Engineering | Jun 6, 2024 | Automated Feature EngineeringFeature Engineering | —Unverified | 0 |
| Information Theoretic Measures of Causal Influences during Transient Neural Events | Sep 15, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs | Sep 17, 2022 | graph constructionGraph Neural Network | —Unverified | 0 |
| Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo | Sep 10, 2024 | Data AugmentationDiversity | —Unverified | 0 |
| Learning Auto-regressive Models from Sequence and Non-sequence Data | Dec 1, 2011 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders | Dec 1, 2018 | Dynamic Time WarpingTime Series | —Unverified | 0 |
| Information theoretical study of cross-talk mediated signal transduction in MAPK pathways | Dec 30, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Information Flow Rate for Cross-Correlated Stochastic Processes | Jan 10, 2024 | Causal InferenceGaussian Processes | —Unverified | 0 |