Reuse of a HW/SW coverification environment during the refinement process of a functional C model down to an executable HW/SW specification. - Markus Winterholer; Florian Schäfer 001 (FDL, 2009)

The Causative Alternation. - Florian Schäfer 001 (Lang. Linguistics Compass, 2009)

FASTCUDA: Open Source FPGA Accelerator & Hardware-Software Codesign Toolset for CUDA Kernels. - Iakovos Mavroidis; Ioannis Mavroidis; Ioannis Papaefstathiou; Luciano Lavagno; Mihai T. Lazarescu; Eduardo de la Torre; Florian Schäfer 001 (DSD, 2012)

HEAP: A Highly Efficient Adaptive multi-Processor framework. - Luciano Lavagno; Mihai T. Lazarescu; Ioannis Papaefstathiou; Andreas Brokalakis; Johan Walters; Bart Kienhuis; Florian Schäfer 001 (Microprocess. Microsystems, 2013)

Word importance-based similarity of documents metric (WISDM): Fast and scalable document similarity metric for analysis of scientific documents. - Viktor Botev; Kaloyan Marinov; Florian Schäfer 001 (WOSP@JCDL, 2017)

Time Discrete Extrapolation in a Riemannian Space of Images. - Alexander Effland; Martin Rumpf; Florian Schäfer 001 (SSVM, 2017)

Pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems. - Leon Thurner; Alexander Scheidler; Florian Schäfer 001; Jan-Hendrik Menke; Julian Dollichon; Friederike Meier; Steffen Meinecke; Martin Braun 002 (CoRR, 2017)

An efficient open-source implementation to compute the jacobian matrix for the Newton-Raphson power flow algorithm. - Florian Schäfer 001; Martin Braun 002 (ISGT Europe, 2018)

Performing a Virtual Field Test of a New Monitoring Method for Smart Power Grids. - Jan-Hendrik Menke; Florian Schäfer 001; Martin Braun 002 (SmartGridComm, 2018)

Contingency Analysis of Power Systems with Artificial Neural Networks. - Florian Schäfer 001; Jan-Hendrik Menke; Martin Braun 002 (SmartGridComm, 2018)

Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications. - Alexander Effland; Martin Rumpf; Florian Schäfer 001 (SIAM J. Imaging Sci., 2018)

Competitive Gradient Descent. - Florian Schäfer 001; Anima Anandkumar (NeurIPS, 2019)

A simplified and efficient particle swarm optimization algorithm considering particle diversity. - Ya Bi; Mei Xiang; Florian Schäfer 001; Alan Lebwohl; Cunfa Wang (Clust. Comput., 2019)

Multiresolution operator decomposition for flow simulation in fractured porous media. - Qingfu Zhang 002; Houman Owhadi; Jun Yao; Florian Schäfer 001; Zhaoqin Huang; Yang Li 011 (J. Comput. Phys., 2019)

Implicit competitive regularization in GANs. - Florian Schäfer 001; Hongkai Zheng; Animashree Anandkumar (ICML, 2020)

Comparison of Meta-Heuristics for the Planning of Meshed Power Systems. - Florian Schäfer 001; Jan-Hendrik Menke; Martin Braun 002 (CoRR, 2020)

Competitive Mirror Descent. - Florian Schäfer 001; Anima Anandkumar; Houman Owhadi (CoRR, 2020)

Evaluating Machine Learning Models for the Fast Identification of Contingency Cases. - Florian Schäfer 001; Jan-Hendrik Menke; Martin Braun 002 (CoRR, 2020)

Robust Reinforcement Learning: A Constrained Game-theoretic Approach. - Jing Yu; Clement Gehring; Florian Schäfer 001; Animashree Anandkumar (L4DC, 2021)

ZerO Initialization: Initializing Residual Networks with only Zeros and Ones. - Jiawei Zhao; Florian Schäfer 001; Anima Anandkumar (CoRR, 2021)

Polymatrix Competitive Gradient Descent. - Jeffrey Ma; Alistair Letcher; Florian Schäfer 001; Yuanyuan Shi; Anima Anandkumar (CoRR, 2021)

Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity. - Florian Schäfer 001; Timothy John Sullivan; Houman Owhadi (Multiscale Model. Simul., 2021)

Sparse Cholesky Factorization by Kullback-Leibler Minimization. - Florian Schäfer 001; Matthias Katzfuss; Houman Owhadi (SIAM J. Sci. Comput., 2021)

Multiscale cholesky preconditioning for ill-conditioned problems. - Jiong Chen 001; Florian Schäfer 001; Jin Huang 001; Mathieu Desbrun (ACM Trans. Graph., 2021)

Competitive Physics Informed Networks. - Qi Zeng; Spencer H. Bryngelson; Florian Schäfer 001 (CoRR, 2022)

ZerO Initialization: Initializing Neural Networks with only Zeros and Ones. - Jiawei Zhao; Florian Schäfer 001; Anima Anandkumar (Trans. Mach. Learn. Res., 2022)

Competitive Physics Informed Networks. - Qi Zeng; Yash Kothari; Spencer H. Bryngelson; Florian Schäfer 001 (ICLR, 2023)

Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. - Jian Cao 004; Myeongjong Kang; Felix Jimenez 002; Huiyan Sang; Florian Schäfer 001; Matthias Katzfuss (CoRR, 2023)

Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes. - Yifan Chen; Houman Owhadi; Florian Schäfer 001 (CoRR, 2023)

InRank: Incremental Low-Rank Learning. - Jiawei Zhao; Yifei Zhang; Beidi Chen; Florian Schäfer 001; Anima Anandkumar (CoRR, 2023)

Sparse Cholesky factorization by greedy conditional selection. - Stephen Huan; Joseph Guinness; Matthias Katzfuss; Houman Owhadi; Florian Schäfer 001 (CoRR, 2023)

Information geometric regularization of the barotropic Euler equation. - Ruijia Cao; Florian Schäfer 001 (CoRR, 2023)

A framework for AI-based self-adaptive cyber-physical process systems. - Achim Guldner; Maximilian Hoffmann 001; Christian Lohr; Rüdiger Machhamer; Lukas Malburg; Marlies Morgen; Stephanie C. Rodermund; Florian Schäfer 001; Lars Schaupeter; Jens Schneider 003; Felix Theusch; Ralph Bergmann; et al. (it Inf. Technol., 2023)

Sparse Recovery of Elliptic Solvers from Matrix-Vector Products. - Florian Schäfer 001; Houman Owhadi (SIAM J. Sci. Comput., 2024)

Fast macroscopic forcing method. - Spencer H. Bryngelson; Florian Schäfer 001; Jessie Liu; Ali Mani (J. Comput. Phys., 2024)

Lightning-fast Method of Fundamental Solutions. - Jiong Chen 001; Florian Schäfer 001; Mathieu Desbrun (ACM Trans. Graph., 2024)

Optimal Krylov On Average. - Qi Luo; Florian Schäfer 001 (CoRR, 2025)

Simulating many-engine spacecraft: Exceeding 100 trillion grid points via information geometric regularization and the MFC flow solver. - Benjamin Wilfong; Anand Radhakrishnan; Henry Le Berre; Nikolaos Tselepidis; Benedikt Dorschner; Reuben D. Budiardja; Brian Cornille; Stephen Abbott; Florian Schäfer 001; Spencer H. Bryngelson (CoRR, 2025)

Maximum likelihood discretization of the transport equation. - Brook Eyob; Florian Schäfer 001 (CoRR, 2025)

Lightning-fast Boundary Element Method. - Jiong Chen 001; Florian Schäfer 001; Mathieu Desbrun (ACM Trans. Graph., 2025)