| Information Theory Inspired Pattern Analysis for Time-series Data | Feb 22, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Learning conditional independence structure for high-dimensional uncorrelated vector processes | Sep 13, 2016 | Model SelectionTime Series | —Unverified | 0 |
| Learning Continuous-Time Dynamics by Stochastic Differential Networks | Jun 11, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Learning convolution filters for inverse covariance estimation of neural network connectivity | Dec 1, 2014 | CPUTime Series | —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 |
| Information theoretical study of cross-talk mediated signal transduction in MAPK pathways | Dec 30, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Multimodal Learning: An Effective Method for Video Classification | Nov 30, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Information Flow Rate for Cross-Correlated Stochastic Processes | Jan 10, 2024 | Causal InferenceGaussian Processes | —Unverified | 0 |
| Debiasing Continuous-time Nonlinear Autoregressions | Apr 7, 2025 | regressionTime Series | —Unverified | 0 |
