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Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning

Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning

13 July 2022
Paul Novello
Gaël Poëtte
D. Lugato
P. Congedo
ArXivPDFHTML

Papers citing "Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning"

2 / 2 papers shown
Title
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework
Ankit Amrutkar
Björn Kampa
Volkmar Schulz
Johannes Stegmaier
Markus Rothermel
Dorit Merhof
23
0
0
30 Apr 2025
Accelerating hypersonic reentry simulations using deep learning-based
  hybridization (with guarantees)
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)
Paul Novello
Gaël Poëtte
D. Lugato
S. Peluchon
P. Congedo
AI4CE
27
7
0
27 Sep 2022
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