4 citations · 5 across the 4 of their papers we have counts for
4 papers
Composition and decomposition of GANs
Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic
In this work, we propose a composition/decomposition framework for adversarially training generative models on composed data - data where each sample can be thought of as being con…
Degrees of Freedom in Deep Neural Networks
Tianxiang Gao, Vladimir Jojic
In this paper, we explore degrees of freedom in deep sigmoidal neural networks. We show that the degrees of freedom in these models is related to the expected optimism, which is th…
Learning microbial interaction networks from metagenomic count data
Surojit Biswas, Meredith McDonald, Derek S. Lundberg +2
Many microbes associate with higher eukaryotes and impact their vitality. In order to engineer microbiomes for host benefit, we must understand the rules of community assembly and…
Joint discovery of haplotype blocks and complex trait associations from SNP sequences
Nebojsa Jojic, Vladimir Jojic, David Heckerman
Haplotypes, the global patterns of DNA sequence variation, have important implications for identifying complex traits. Recently, blocks of limited haplotype diversity have been dis…