Gaussian Process State-Space Models with Time-Varying Parameters and Inducing Points. - Yuhao Liu 002; Petar M. Djuric (EUSIPCO, 2020)

The Use of Gaussian Processes as Particles for Sequential Monte Carlo Estimation of Time-Varying Functions. - Yuhao Liu 002; Petar M. Djuric (EUSIPCO, 2021)

Ensembles of Gaussian process latent variable models. - Marzieh Ajirak; Yuhao Liu 002; Petar M. Djuric (EUSIPCO, 2022)

Inference with Deep Gaussian Process State Space Models. - Yuhao Liu 002; Marzieh Ajirak; Petar M. Djuric (EUSIPCO, 2022)

Tracking the Dimensions of Latent Spaces of Gaussian Process Latent Variable Models. - Yuhao Liu 002; Petar M. Djuric (ICASSP, 2022)

Detecting Confounders in Multivariate Time Series using Strength of Causation. - Yuhao Liu 002; Chen Cui; Daniel Waxman 002; Kurt Butler; Petar M. Djuric (EUSIPCO, 2023)

Estimation of Time-Varying Graph Topologies from Graph Signals. - Yuhao Liu 002; Chen Cui; Marzieh Ajirak; Petar M. Djuric (ICASSP, 2023)

Sequential Estimation of Gaussian Process-Based Deep State-Space Models. - Yuhao Liu 002; Marzieh Ajirak; Petar M. Djuric (IEEE Trans. Signal Process., 2023)

Filtering of High-Dimensional Data for Sequential Classification. - Marzieh Ajirak; Yuhao Liu 002; Petar M. Djuric (FUSION, 2024)

Novel Architecture of Deep Feature-Based Gaussian Processes with an Ensemble of Kernels. - Yuanqing Song; Yuhao Liu 002; Petar M. Djuric (ICASSP, 2024)

Scalable Random Feature Latent Variable Models. - Ying Li; Zhidi Lin; Yuhao Liu 002; Michael Minyi Zhang; Pablo M. Olmos; Petar M. Djuric (CoRR, 2024)

Gaussian Process-Gated Hierarchical Mixtures of Experts. - Yuhao Liu 002; Marzieh Ajirak; Petar M. Djuric (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Novel Deep Gaussian Process Structures with Flexible Depths. - Yuanqing Song; Yuhao Liu 002; Petar M. Djuric (ICASSP, 2025)