Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning

13 July 2022

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

5 / 5 papers shown

Title
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 62 0 0 30 Apr 2025
Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics Siddhant Arora Zhiyun Lu Chung-Cheng Chiu Ruoming Pang Shinji Watanabe 101 7 0 03 Mar 2025
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees) Paul Novello Gaël Poëtte D. Lugato S. Peluchon P. Congedo AI4CE 62 8 0 27 Sep 2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure Paul Novello Thomas Fel David Vigouroux FAtt 85 29 0 13 Jun 2022
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.6K 14,656 0 07 Oct 2016