177 citations · 189 across the 18 of their papers we have counts for
5 papers · 1 filter
ROTE: Benchmarking Neural Memorization on Complexity-Controlled Symbolic Sequences
Xinye Chen, Stefan Güttel, Mohammad Mozaffari
We introduce ROTE (RollOut Testing of Exact memorization), a benchmarking protocol for evaluating symbolic memorization of neural architectures. We study memorization and the exten…
Integral chemical reaction neural networks
Abraham Reyes-Velázquez, Stefan Güttel
Discovering the structure and kinetics of chemical reaction networks (CRNs) from time-series concentration data is a fundamental challenge in chemical kinetics, with existing appro…
Uniform-in-time rational approximation of the matrix exponential with real poles
Stefan Güttel, Shuai Shao
We propose two new approaches for constructing families of rational functions with shared real poles that nearly uniformly approximate the functions for and $…
Sketch-and-Restart: Randomized Sketching in Quadrature-Based Restarting for Matrix Functions
Stefan Güttel, Jingyu Liu, Lauri Nyman
We develop a sketch-and-restart framework for computing the action of a matrix function on a vector, , where is large, sparse, and non-Hermitian. The framework combines…
Scalable parallel 3-D TEM inversion via rational approximation of the matrix exponential
Ralph-Uwe Börner, Stefan Güttel, Thomas Günther
We present a novel parallel implementation for large-scale three-dimensional electromagnetic inversion based on a Gauss-Newton framework combined with a rational near-best approxim…