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On the performance of deep learning for numerical optimization: an
  application to protein structure prediction

On the performance of deep learning for numerical optimization: an application to protein structure prediction

17 December 2020
H. Rakhshani
L. Idoumghar
Soheila Ghambari
Julien Lepagnot
Mathieu Brévilliers
ArXivPDFHTML

Papers citing "On the performance of deep learning for numerical optimization: an application to protein structure prediction"

5 / 5 papers shown
Title
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural
  Network Architectures Across Different Types
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types
Zhenhao Shuai
Hongbo Liu
Zhaolin Wan
Wei-jie Yu
Jinchao Zhang
19
3
0
27 Nov 2022
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
61
178
0
07 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
498
0
24 Apr 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
292
10,613
0
19 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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