temporal dependence

Predictive inference for time series: why is split conformal effective despite temporal dependence? ALT 2026 PCF-GAN: generating sequential data via the characteristic function of measures on the path space NeurIPS 2023 Temporal Dependencies in Feature Importance for Time Series Prediction ICLR 2023 Change point localization in dependent dynamic nonparametric random dot product graphs JMLR 2022 Learning Mixtures of Linear Dynamical Systems ICML 2022 Theoretical analysis of deep neural networks for temporally dependent observations NeurIPS 2022 Deep Fourier Kernel for Self-Attentive Point Processes AISTATS 2021 Jointly Trained Image and Video Generation using Residual Vectors WACV 2020 Concentration inequalities for empirical processes of linear time series JMLR 2018 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Echo State Hoeffding Tree Learning ACML 2016 Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014