A Bayesian Nonparametric Estimation of Mutual Information. - Luai Al-Labadi; Forough Fazeli-Asl; Zahra Saberi (CoRR, 2021)

A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks. - Forough Fazeli-Asl; Michael Minyi Zhang; Lizhen Lin (CoRR, 2023)

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy. - Forough Fazeli-Asl; Michael Minyi Zhang (CoRR, 2023)

A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks. - Forough Fazeli-Asl; Michael Minyi Zhang; Lizhen Lin (Trans. Mach. Learn. Res., 2024)

On Bayesian Hotelling's T 2 test for the mean. - Luai Al-Labadi; Forough Fazeli-Asl; Kyuson Lim (Commun. Stat. Simul. Comput., 2024)

A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation. - Forough Fazeli-Asl; Michael Minyi Zhang; Bei Jiang; Linglong Kong (CoRR, 2025)