Geometry-oblivious FMM for compressing dense SPD matrices. - Chenhan D. Yu; James Levitt; Severin Reiz; George Biros (SC, 2017)

Distributed-memory hierarchical compression of dense SPD matrices. - Chenhan D. Yu; Severin Reiz; George Biros (SC, 2018)

Distributed O(N) Linear Solver for Dense Symmetric Hierarchical Semi-Separable Matrices. - Chenhan D. Yu; Severin Reiz; George Biros (MCSoC, 2019)

Fast Evaluation and Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron. - Chao Chen 008; Severin Reiz; Chenhan D. Yu; Hans-Joachim Bungartz; George Biros (CoRR, 2019)

Software for Exascale Computing: Some Remarks on the Priority Program SPPEXA. - Hans-Joachim Bungartz; Wolfgang E. Nagel; Philipp Neumann; Severin Reiz; Benjamin Uekermann (Software for Exascale Computing, 2020)

Fast Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron. - Chao Chen 008; Severin Reiz; Chenhan D. Yu; Hans-Joachim Bungartz; George Biros (SIAM J. Matrix Anal. Appl., 2021)

Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs. - Severin Reiz; Tobias Neckel; Hans-Joachim Bungartz (PPAM (1), 2022)

Efficient and Scalable Kernel Matrix Approximations using Hierarchical Decomposition. - Keerthi Gaddameedi; Severin Reiz; Tobias Neckel; Hans-Joachim Bungartz (CoRR, 2023)

On the Algorithmic Impact of Scientific Computing on Machine Learning. - Severin Reiz (2024)