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))