Aggregating Dependent Gaussian Experts in Local Approximation. - Hamed Jalali 001; Gjergji Kasneci (ICPR, 2020)

Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. - Hamed Jalali 001; Martin Pawelczyk; Gjergji Kasneci (IEEE BigData, 2021)

Gaussian Experts Selection using Graphical Models. - Hamed Jalali 001; Martin Pawelczyk; Gjergji Kasneci (CoRR, 2021)

A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines. - Vadim Borisov; Johannes Meier; Johannes van den Heuvel; Hamed Jalali 001; Gjergji Kasneci (CoRR, 2021)

Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models. - Hamed Jalali 001; Gjergji Kasneci (BigComp, 2022)

Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes. - Hamed Jalali 001; Gjergji Kasneci (CoRR, 2022)

Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach. - Hamed Jalali 001; Gjergji Kasneci (CoRR, 2022)

Aggregation Strategies for Distributed Gaussian Processes. - Hamed Jalali 001 (2023)