Publication list
Authors are listed alphabetically, unless not.
EG Tabak, G Trigila, and W Zhao.
The Hierarchical Barycenter: Conditional Probability Simulation with Structured and Unobserved Covariates
submitted to Machine Learning
W Zhao, E Larschan, B Sandstede, and R Singh.
Optimal transport reveals dynamic gene regulatory networks via gene velocity estimation (preprint)
submitted to PLOS Computational Biology
W Zhao, S Maffa, and B Sandstede.
Data-driven Continuation of Patterns and their Bifurcations (poster) (preprint)
in revision at SIAM Journal on Applied Dynamical Systems.
W Zhao and EG Tabak.
Adaptive Kernel Conditional Density Estimation (preprint)
accepted at Information and Inference: A Journal of the IMA.
EG Tabak, G Trigila, and W Zhao.
The Conditional Barycenter Problem, its Data-Driven Formulation and its Solution through Normalizing Flows (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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