1. Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization
    Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, and Matthias Katzfuss
    arXiv preprint arXiv:2301.13303 2023


  1. Sparse recovery of elliptic solvers from matrix-vector products
    Florian Schäfer, and Houman Owhadi
    arXiv preprint arXiv:2110.05351 2022
  2. ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
    Jiawei Zhao, Florian Schäfer, and Anima Anandkumar
    Transactions on Machine Learning Research 2022
  3. Competitive Physics Informed Networks
    Qi Zeng, Yash Kothari, Spencer H Bryngelson, and Florian Schäfer
    arXiv preprint arXiv:2204.11144 2022


  1. Robust Reinforcement Learning: A Constrained Game-theoretic Approach
    Jing Yu, Clement Gehring, Florian Schäfer, and Animashree Anandkumar
    In Proceedings of the 3rd Conference on Learning for Dynamics and Control 07 – 08 june 2021
  2. Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields
    Matthias Katzfuss, and Florian Schäfer
    arXiv preprint arXiv:2108.04211 07 – 08 june 2021
  3. Polymatrix Competitive Gradient Descent
    Jeffrey Ma, Alistair Letcher, Florian Schäfer, Yuanyuan Shi, and Anima Anandkumar
    arXiv preprint arXiv:2111.08565 07 – 08 june 2021


  1. Competitive Mirror Descent
    Florian Schäfer, Anima Anandkumar, and Houman Owhadi
    07 – 08 june 2021
  2. Sparse Cholesky factorization by Kullback-Leibler minimization
    Florian Schäfer, Matthias Katzfuss, and Houman Owhadi
    SIAM Journal on Scientific Computing 07 – 08 june 2021


  1. Statistical numerical approximation
    Houman Owhadi, Clint Scovel, and Florian Schäfer
    Notices of the American Mathematical Society 07 – 08 june 2021
  2. Implicit competitive regularization in GANs
    Florian Schäfer, Hongkai Zheng, and Anima Anandkumar
    In the 37th International Conference on Machine Learning (ICML 2020) 07 – 08 june 2021
  3. Competitive Gradient Descent
    Florian Schäfer, and Anima Anandkumar
    In Advances in Neural Information Processing Systems 32 07 – 08 june 2021


  1. Image extrapolation for the time discrete metamorphosis model – existence and applications
    Alexander Effland, Martin Rumpf, and Florian Schäfer
    SIAM Journal on Imaging Sciences 07 – 08 june 2021


  1. 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. 07 – 08 june 2021
  2. Time discrete extrapolation in a Riemannian space of images
    Alexander Effland, Martin Rumpf, and Florian Schäfer
    In International Conference on Scale Space and Variational Methods in Computer Vision 07 – 08 june 2021