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PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning

PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning

Arnulf Jentzen
Julian Kranz
Adrian Riekert
    ODL
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Papers citing "PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning"

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Title
Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems
Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems
Steffen Dereich
Arnulf Jentzen
Adrian Riekert
AI4CE
46
1
0
10 Jan 2025