3 papers
cs.LG2025
Toward Temporal Causal Representation Learning with Tensor Decomposition
Jianhong Chen, Meng Zhao, Mostafa Reisi Gahrooei +1
Temporal causal representation learning is a powerful tool for uncovering complex patterns in observational studies, which are often represented as low-dimensional time series. How…
stat.ML2025
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems
Jianhong Chen, Shihao Yang
Parameter estimation and trajectory reconstruction for data-driven dynamical systems governed by ordinary differential equations (ODEs) are essential tasks in fields such as biolog…
cs.LG2024
Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data
Jianhong Chen, Ying Ma, Xubo Yue
Traditionally, learning the structure of a Dynamic Bayesian Network has been centralized, requiring all data to be pooled in one location. However, in real-world scenarios, data ar…