Florian Schäfer

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Spencer H. Bryngelson, Florian Schäfer, Jessie Liu, Ali Mani
Fast macroscopic forcing method. J. Comput. Phys. 499 (2024)
Florian Schäfer, Houman Owhadi
Sparse Recovery of Elliptic Solvers from Matrix-Vector Products. SIAM J. Sci. Comput. 46 (2) (2024)
Stephen Huan, Joseph Guinness, Matthias Katzfuss, Houman Owhadi, Florian Schäfer
Sparse Cholesky factorization by greedy conditional selection. CoRR (2023)
Jiawei Zhao, Yifei Zhang, Beidi Chen, Florian Schäfer, Anima Anandkumar
InRank: Incremental Low-Rank Learning. CoRR (2023)
Qi Zeng, Yash Kothari, Spencer H. Bryngelson, Florian Schäfer
Competitive Physics Informed Networks. ICLR (2023)
Yifan Chen, Houman Owhadi, Florian Schäfer
Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes. CoRR (2023)
Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, Ralph Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, Ingo J. Timm, Matthias Vette-Steinkamp, Benjamin Weyers
A framework for AI-based self-adaptive cyber-physical process systems. it Inf. Technol. 65 (3) (2023)
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, Matthias Katzfuss
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. CoRR (2023)
Ruijia Cao, Florian Schäfer
Information geometric regularization of the barotropic Euler equation. CoRR (2023)
Jiawei Zhao, Florian Schäfer, Anima Anandkumar
ZerO Initialization: Initializing Neural Networks with only Zeros and Ones. Trans. Mach. Learn. Res. 2022 (2022)
Qi Zeng, Spencer H. Bryngelson, Florian Schäfer
Competitive Physics Informed Networks. CoRR (2022)
Jiawei Zhao, Florian Schäfer, Anima Anandkumar
ZerO Initialization: Initializing Residual Networks with only Zeros and Ones. CoRR (2021)
Jing Yu, Clement Gehring, Florian Schäfer, Animashree Anandkumar
Robust Reinforcement Learning: A Constrained Game-theoretic Approach. L4DC (2021)
Florian Schäfer, Timothy John Sullivan, Houman Owhadi
Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity. Multiscale Model. Simul. 19 (2) (2021)
Florian Schäfer, Houman Owhadi
Sparse recovery of elliptic solvers from matrix-vector products. CoRR (2021)
Jeffrey Ma, Alistair Letcher, Florian Schäfer, Yuanyuan Shi, Anima Anandkumar
Polymatrix Competitive Gradient Descent. CoRR (2021)
Florian Schäfer, Matthias Katzfuss, Houman Owhadi
Sparse Cholesky Factorization by Kullback-Leibler Minimization. SIAM J. Sci. Comput. 43 (3) (2021)
Jiong Chen, Florian Schäfer, Jin Huang, Mathieu Desbrun
Multiscale cholesky preconditioning for ill-conditioned problems. ACM Trans. Graph. 40 (4) (2021)
Florian Schäfer, Jan-Hendrik Menke, Martin Braun
Evaluating Machine Learning Models for the Fast Identification of Contingency Cases. CoRR (2020)
Florian Schäfer, Jan-Hendrik Menke, Martin Braun
Comparison of Meta-Heuristics for the Planning of Meshed Power Systems. CoRR (2020)
Florian Schäfer, Matthias Katzfuss, Houman Owhadi
Sparse Cholesky factorization by Kullback-Leibler minimization. CoRR (2020)
Florian Schäfer, Hongkai Zheng, Animashree Anandkumar
Implicit competitive regularization in GANs. ICML (2020)
Florian Schäfer, Anima Anandkumar, Houman Owhadi
Competitive Mirror Descent. CoRR (2020)
Florian Schäfer, Hongkai Zheng, Anima Anandkumar
Implicit competitive regularization in GANs. CoRR (2019)
Florian Schäfer, Anima Anandkumar
Competitive Gradient Descent. NeurIPS (2019)
Ya Bi, Mei Xiang, Florian Schäfer, Alan Lebwohl, Cunfa Wang
A simplified and efficient particle swarm optimization algorithm considering particle diversity. Clust. Comput. 22 (6) (2019)
Qingfu Zhang, Houman Owhadi, Jun Yao, Florian Schäfer, Zhaoqin Huang, Yang Li
Multiresolution operator decomposition for flow simulation in fractured porous media. J. Comput. Phys. 391 (2019)
Florian Schäfer, Anima Anandkumar
Competitive Gradient Descent. CoRR (2019)
Florian Schäfer, Jan-Hendrik Menke, Martin Braun
Contingency Analysis of Power Systems with Artificial Neural Networks. SmartGridComm (2018)
Alexander Effland, Martin Rumpf, Florian Schäfer
Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications. SIAM J. Imaging Sci. 11 (1) (2018)
Jan-Hendrik Menke, Florian Schäfer, Martin Braun
Performing a Virtual Field Test of a New Monitoring Method for Smart Power Grids. SmartGridComm (2018)
Florian Schäfer, Martin Braun
An efficient open-source implementation to compute the Jacobian matrix for the Newton-Raphson power flow algorithm. CoRR (2018)
Florian Schäfer, Martin Braun
An efficient open-source implementation to compute the jacobian matrix for the Newton-Raphson power flow algorithm. ISGT Europe (2018)
Leon Thurner, Alexander Scheidler, Florian Schäfer, Jan-Hendrik Menke, Julian Dollichon, Friederike Meier, Steffen Meinecke, Martin Braun
Pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems. CoRR (2017)
Alexander Effland, Martin Rumpf, Florian Schäfer
Time Discrete Extrapolation in a Riemannian Space of Images. SSVM (2017)
Viktor Botev, Kaloyan Marinov, Florian Schäfer
Word importance-based similarity of documents metric (WISDM): Fast and scalable document similarity metric for analysis of scientific documents. WOSP@JCDL (2017)
Florian Schäfer, Timothy John Sullivan, Houman Owhadi
Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity. CoRR (2017)
Luciano Lavagno, Mihai T. Lazarescu, Ioannis Papaefstathiou, Andreas Brokalakis, Johan Walters, Bart Kienhuis, Florian Schäfer
HEAP: A Highly Efficient Adaptive multi-Processor framework. Microprocess. Microsystems 37 (8-C) (2013)
Iakovos Mavroidis, Ioannis Mavroidis, Ioannis Papaefstathiou, Luciano Lavagno, Mihai T. Lazarescu, Eduardo de la Torre, Florian Schäfer
FASTCUDA: Open Source FPGA Accelerator & Hardware-Software Codesign Toolset for CUDA Kernels. DSD (2012)
Luciano Lavagno, Mihai T. Lazarescu, Ioannis Papaefstathiou, Andreas Brokalakis, Johan Walters, Bart Kienhuis, Florian Schäfer
HEAP: A Highly Efficient Adaptive Multi-processor Framework. DSD (2012)
Florian Schäfer
The Causative Alternation. Lang. Linguistics Compass 3 (2) (2009)
Markus Winterholer, Florian Schäfer
Reuse of a HW/SW coverification environment during the refinement process of a functional C model down to an executable HW/SW specification. FDL (2009)