Publication list
Authors are listed alphabetically, unless not.
S Yu, A Kushner, E Teasell, W Zhao, S Srebnik, and K Dao Duc.
Advance Coarse Grained Model for Fast Simulation of Nascent Polypeptide Chain within the Ribosome
(submitted) Biophysical Journal
EG Tabak, G Trigila, and W Zhao.
The Hierarchical Barycenter: Conditional Probability Simulation with Structured and Unobserved Covariates
(submitted) Machine Learning
W Zhao, E Larschan, B Sandstede, and R Singh.
Optimal Transport Reveals Dynamic Gene Regulatory Networks via Gene Velocity Estimation (preprint)
(accepted) PLOS Computational Biology
W Zhao, S Maffa, and B Sandstede.
Data-driven Continuation of Patterns and their Bifurcations (poster) (preprint)
(accepted) SIAM Journal on Applied Dynamical Systems.
W Zhao and EG Tabak.
Adaptive Kernel Conditional Density Estimation (preprint)(publication)
Information and Inference: A Journal of the IMA (2025).
EG Tabak, G Trigila, and W Zhao.
The Conditional Barycenter Problem, its Data-Driven Formulation and its Solution through Normalizing Flows (preprint)(publication)
Communications in Mathematical Sciences (2024).
H Zhang and W Zhao.
A Memory-efficient Neural ODE Framework Based on High-level Adjoint Differentiation (preprint) (publication)
IEEE Transactions on Artificial Intelligence (2022).
EG Tabak, G Trigila, and W Zhao.
Distributional Barycenter Problem through Data-Driven Flows (preprint) (publication)
Pattern Recognition (2022).
W Zhao.
Sample-based Optimal Transport in Statistical Data analysis.
PhD thesis
EG Tabak, G Trigila, and W Zhao.
Conditional Density Estimation and Simulation through Optimal Transport (preprint)(publication)
Machine Learning (2020).
EG Tabak, G Trigila, and W Zhao.
Data Driven Conditional Optimal Transport (poster) (preprint) (publication)
33rd Conference on Neural Information Processing Systems (NeurIPS) OTML Workshop (2019).
(Extended version in Machine Learning (2021))
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