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On the effects of biased quantum random numbers on the initialization of artificial neural networks
30 August 2021
R. Heese
Moritz Wolter
Sascha Mucke
L. Franken
Nico Piatkowski
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Papers citing
"On the effects of biased quantum random numbers on the initialization of artificial neural networks"
4 / 4 papers shown
Title
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision
David Picard
3DV
VLM
48
90
0
16 Sep 2021
Pseudo Random Number Generation: a Reinforcement Learning approach
Luca Pasqualini
Maurizio Parton
36
26
0
15 Dec 2019
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
221
18,534
0
06 Feb 2015
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
117
6,619
0
22 Dec 2012
1