Florian Schäfer


S1317 CODA

756 W Peachtree St

Atlanta, GA 30332

I’m Florian Schäfer, assistant professor in the School of Computational Science and Engineering at Georgia Tech.

Prior to joining Georgia Tech, I received my PhD in applied and computational mathematics at Caltech, working with Houman Owhadi. Before that, I received my Bachelor’s and Master’s degrees in Mathematics at the University of Bonn.

My research interests lie at the interface of numerical computation, statistical inference, and competitive games. To learn more, have a look at these high-level summaries or the defense of my thesis.

I am currently hiring PhD students. If you have a strong background in computational mathematics and the above seems interesting (or you have a project in mind that I might find interesting), feel free to reach out!


Nov 15, 2023 I gave a virtual talk at the optimization in Oslo (OiO) seminar at Simula. My talk should appear shortly on the OiO Youtube channel.
Nov 12, 2023 I attended a workshop on applied and computational math at Caltech and gave a talk on information geometric regularization.
Nov 7, 2023 I am attending the workshop on compressible multiphase flows at Stanford and gave a talk on information geometric regularization. Thanks Ali for the invitation!
Nov 1, 2023 Start of our grant on untangling computation using games and statistical inference. Thanks for the support, ONR!
Oct 12, 2023 Joint work with Jessie, Spencer, Tamer, and Ali on the adjoint macroscopic forcing method now on the arxiv.

selected publications

  1. Sparse Cholesky factorization by Kullback-Leibler minimization
    Florian Schäfer, Matthias Katzfuss, and Houman Owhadi
    SIAM Journal on Scientific Computing 2021
  2. Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity
    Florian Schäfer, T. J. Sullivan, and Houman Owhadi
    Multiscale Model. Simul. 2021
  3. Implicit competitive regularization in GANs
    Florian Schäfer, Hongkai Zheng, and Anima Anandkumar
    In the 37th International Conference on Machine Learning (ICML 2020) 2020
  4. Competitive gradient descent
    Florian Schäfer, and Anima Anandkumar
    Advances in Neural Information Processing Systems 2019
  5. Sparse recovery of elliptic solvers from matrix-vector products
    Florian Schäfer, and Houman Owhadi
    Accepted in SIAM Journal on Scientific Computing 2023
  6. Information geometric regularization of the barotropic Euler equation
    Ruijia Cao, and Florian Schäfer