Publication list

Authors are listed alphabetically, unless not.

1. EG Tabak, G Trigila, and W Zhao.
   The Hierarchical Barycenter: Conditional Probability Simulation with Structured and Unobserved Covariates
   submitted to Machine Learning

2. 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

3. 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.

4. W Zhao and EG Tabak.
   Adaptive Kernel Conditional Density Estimation (preprint)
   accepted at Information and Inference: A Journal of the IMA.

5. 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).

6. 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).

7. EG Tabak, G Trigila, and W Zhao.
   Distributional barycenter problem through data-driven flows (preprint) (publication)
   Pattern Recognition (2022).

8. W Zhao.
   Sample-based Optimal Transport in Statistical Data analysis.
   PhD thesis

9. EG Tabak, G Trigila, and W Zhao.
   Conditional density estimation and simulation through optimal transport (preprint)(publication)
   Machine Learning (2020).

10. 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))