Search Results for author: Marco Eckhoff

Found 2 papers, 1 papers with code

CoRe Optimizer: An All-in-One Solution for Machine Learning

1 code implementation28 Jul 2023 Marco Eckhoff, Markus Reiher

The optimization algorithm and its hyperparameters can significantly affect the training speed and resulting model accuracy in machine learning applications.

Lifelong Machine Learning Potentials

no code implementations10 Mar 2023 Marco Eckhoff, Markus Reiher

Machine learning potentials (MLPs) trained on accurate quantum chemical data can retain the high accuracy, while inflicting little computational demands.

Continual Learning Incremental Learning +1

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