Yucai Shao

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Machine Learning

Hepatitis C Virus

Gestational Age

Top Venues

PLoS computational biology

bioRxiv : the preprint server for biology

This page only lists publications with an associated author ORCID identifier.

Publications

Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. PLoS computational biology 20 (3) (2024)
Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. PLoS computational biology 20 (3) (2024)
Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. PLoS computational biology 20 (3) (2024)
Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. PLoS computational biology 20 (3) (2024)
Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. PLoS computational biology 20 (3) (2024)
Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. PLoS computational biology 20 (3) (2024)
Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. bioRxiv : the preprint server for biology (2023)