Gerrit Welper

According to our database1, Gerrit Welper authored at least 15 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
FastLRNR and Sparse Physics Informed Backpropagation.
CoRR, 2024

A Low Rank Neural Representation of Entropy Solutions.
CoRR, 2024

Approximation and Gradient Descent Training with Neural Networks.
CoRR, 2024

2023
Performance bounds for Reduced Order Models with Application to Parametric Transport.
CoRR, 2023

Approximation Results for Gradient Descent trained Neural Networks.
CoRR, 2023

Learning Trees of 𝓁<sub>0</sub>-Minimization Problems.
CoRR, 2023

2022
Universality of gradient descent neural network training.
Neural Networks, 2022

Approximation results for Gradient Descent trained Shallow Neural Networks in 1d.
CoRR, 2022

2021
Non-Convex Compressed Sensing with Training Data.
CoRR, 2021

2020
Transformed Snapshot Interpolation with High Resolution Transforms.
SIAM J. Sci. Comput., 2020

A Relaxation Argument for Optimization in Neural Networks and Non-Convex Compressed Sensing.
CoRR, 2020

2018
Adaptive anisotropic Petrov-Galerkin methods for first order transport equations.
J. Comput. Appl. Math., 2018

2017
Interpolation of Functions with Parameter Dependent Jumps by Transformed Snapshots.
SIAM J. Sci. Comput., 2017

Diffusion Coefficients Estimation for Elliptic Partial Differential Equations.
SIAM J. Math. Anal., 2017

2012
Adaptive Petrov-Galerkin Methods for First Order Transport Equations.
SIAM J. Numer. Anal., 2012


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