Maximus Mutschler | DeepAI

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Andreas Zell
33 publications

research

∙ 08/31/2021

Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training

A fundamental challenge in Deep Learning is to find optimal step sizes f...

0 Maximus Mutschler, et al. ∙

research

∙ 03/31/2021

Empirically explaining SGD from a line search perspective

Optimization in Deep Learning is mainly guided by vague intuitions and s...

0 Maximus Mutschler, et al. ∙

research

∙ 10/02/2020

A straightforward line search approach on the expected empirical loss for stochastic deep learning problems

A fundamental challenge in deep learning is that the optimal step sizes ...

0 Maximus Mutschler, et al. ∙

research

∙ 03/28/2019

PAL: A fast DNN optimization method based on curvature information

We present a novel optimizer for deep neural networks that combines the ...

0 Maximus Mutschler, et al. ∙