Quasi-random number generators for multivariate distributions based on generative neural networks. - Marius Hofert; Avinash Prasad; Mu Zhu (CoRR, 2018)

Hierarchical Archimax copulas. - Marius Hofert; Raphaël Huser; Avinash Prasad (J. Multivar. Anal., 2018)

A framework for measuring association of random vectors via collapsed random variables. - Marius Hofert; Wayne Oldford; Avinash Prasad; Mu Zhu (J. Multivar. Anal., 2019)

Applications of Multivariate Quasi-Random Sampling with Neural Networks. - Marius Hofert; Avinash Prasad; Mu Zhu (MCQMC, 2020)

Multivariate time-series modeling with generative neural networks. - Marius Hofert; Avinash Prasad; Mu Zhu (CoRR, 2020)

RafterNet: Probabilistic predictions in multi-response regression. - Marius Hofert; Avinash Prasad; Mu Zhu (CoRR, 2021)

Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks. - Marius Hofert; Avinash Prasad; Mu Zhu (J. Comput. Graph. Stat., 2021)

Dependence Model Assessment and Selection with DecoupleNets. - Marius Hofert; Avinash Prasad; Mu Zhu (J. Comput. Graph. Stat., 2023)