most citedBayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ML2026

A Deep Generative Approach to Stratified Learning

Randy Martinez, Rong Tang, Lizhen Lin

While the manifold hypothesis is widely adopted in modern machine learning, complex data is often better modeled as stratified spaces -- unions of manifolds (strata) of varying dim…

stat.ML2026

Flow Matching is Adaptive to Manifold Structures

Shivam Kumar, Yixin Wang, Lizhen Lin

Flow matching has emerged as a simulation-free alternative to diffusion-based generative modeling, producing samples by solving an ODE whose time-dependent velocity field is learne…

stat.AP2020★ 2 cited

Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome

Nathaniel Josephs, Lizhen Lin, Steven Rosenberg +1

While the study of a single network is well-established, technological advances now allow for the collection of multiple networks with relative ease. Increasingly, anywhere from se…