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researcher

Marco Eckhoff

16 papers hereh-index 9433 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author6
  • last author1

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci5
  • physics.chem-ph5
  • cs.LG3
  • quant-ph2
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedHigh-Dimensional Neural Network Potentials for Magnetic Systems Using Spin-Dependent Atom-Centered Symmetry Functions

93 citations · 363 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 10 cited

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

Marco Eckhoff, Markus Reiher

The optimization algorithm and its hyperparameters can significantly affect the training speed and resulting model accuracy in machine learning applications. The wish list for an i…

cs.LG2023★ 45 cited

Lifelong Machine Learning Potentials

Marco Eckhoff, Markus Reiher

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

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.