Florian Schaefer
Cited by
Cited by
Competitive gradient descent
F Schäfer, A Anandkumar
Advances in Neural Information Processing Systems, 7625-7635, 2019
Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity
F Schäfer, TJ Sullivan, H Owhadi
Multiscale Modeling & Simulation 19 (2), 688-730, 2021
Sparse Cholesky Factorization by Kullback--Leibler Minimization
F Schäfer, M Katzfuss, H Owhadi
SIAM Journal on Scientific Computing 43 (3), A2019-A2046, 2021
Implicit competitive regularization in GANs
F Schäfer, H Zheng, A Anandkumar
arXiv preprint arXiv:1910.05852, 2019
Statistical numerical approximation
H Owhadi, C Scovel, F Schäfer
Notices of the AMS, 2019
Competitive physics informed networks
Q Zeng, Y Kothari, SH Bryngelson, F Schäfer
arXiv preprint arXiv:2204.11144, 2022
Multiscale cholesky preconditioning for ill-conditioned problems
J Chen, F Schäfer, J Huang, M Desbrun
ACM Transactions on Graphics (TOG) 40 (4), 1-13, 2021
Sparse recovery of elliptic solvers from matrix-vector products
F Schäfer, H Owhadi
arXiv preprint arXiv:2110.05351, 2021
Robust Reinforcement Learning: A Constrained Game-theoretic Approach
J Yu, C Gehring, F Schäfer, A Anandkumar
Learning for Dynamics and Control, 1242-1254, 2021
Competitive Mirror Descent
F Schäfer, A Anandkumar, H Owhadi
arXiv preprint arXiv:2006.10179, 2020
Zero initialization: Initializing residual networks with only zeros and ones
J Zhao, F Schäfer, A Anandkumar
arXiv, 2021
Image extrapolation for the time discrete metamorphosis model: Existence and applications
A Effland, M Rumpf, F Schäfer
SIAM Journal on Imaging Sciences 11 (1), 834-862, 2018
Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields
M Katzfuss, F Schäfer
Journal of the American Statistical Association, 1-15, 2023
Multiresolution operator decomposition for flow simulation in fractured porous media
Q Zhang, H Owhadi, J Yao, F Schäfer, Z Huang, Y Li
Journal of Computational Physics 391, 381-396, 2019
Sparse Cholesky factorization for solving nonlinear PDEs via Gaussian processes
Y Chen, H Owhadi, F Schäfer
arXiv preprint arXiv:2304.01294, 2023
A Lagrangian Method for Inverse Problems in Reinforcement Learning
PL Bacon, F Schäfer, C Gehring, A Anandkumar, E Brunskill
Optimization in RL workshop at NeurIPS 2019, 2019
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization
J Cao, M Kang, F Jimenez, H Sang, FT Schaefer, M Katzfuss
International Conference on Machine Learning, 3559-3576, 2023
Polymatrix Competitive Gradient Descent
J Ma, A Letcher, F Schäfer, Y Shi, A Anandkumar
arXiv preprint arXiv:2111.08565, 2021
Time discrete extrapolation in a Riemannian space of images
A Effland, M Rumpf, F Schäfer
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
Targeted computation of nonlocal closure operators via an adjoint-based macroscopic forcing method
J Liu, F Schäfer, SH Bryngelson, TA Zaki, A Mani
arXiv preprint arXiv:2310.08763, 2023
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