100 citations · 220 across the 7 of their papers we have counts for
7 papers
Roundtrip: A Deep Generative Neural Density Estimator
Qiao Liu, Jiaze Xu, Rui Jiang +1
Density estimation is a fundamental problem in both statistics and machine learning. In this study, we proposed Roundtrip as a general-purpose neural density estimator based on dee…
Convergence of Contrastive Divergence Algorithm in Exponential Family
Bai Jiang, Tung-Yu Wu, Yifan Jin +1
The Contrastive Divergence (CD) algorithm has achieved notable success in training energy-based models including Restricted Boltzmann Machines and played a key role in the emergenc…
Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach
Arwen Vanice Bradley, Ye Henry Li, Bokyung Choi +1
Biological structure and function depend on complex regulatory interactions between many genes. A wealth of gene expression data is available from high-throughput genome-wide measu…
Statistical Modeling of RNA-Seq Data
Julia Salzman, Hui Jiang, Wing Hung Wong
Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression. By obtaining tens or even hundreds of millions of rea…
Reconstructing the energy landscape of a distribution from Monte Carlo samples
Qing Zhou, Wing Hung Wong
Defining the energy function as the negative logarithm of the density, we explore the energy landscape of a distribution via the tree of sublevel sets of its energy. This tree repr…
Coupling hidden Markov models for the discovery of Cis-regulatory modules in multiple species
Qing Zhou, Wing Hung Wong
Cis-regulatory modules (CRMs) composed of multiple transcription factor binding sites (TFBSs) control gene expression in eukaryotic genomes. Comparative genomic studies have shown…