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researcher

C. Mechefske

2 papers hereh-index 405.2k citations222 works total

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author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

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  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedKnowledge Informed Machine Learning using a Weibull-based Loss Function

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 2 cited

Knowledge Informed Machine Learning using a Weibull-based Loss Function

Tim von Hahn, Chris K Mechefske

Machine learning can be enhanced through the integration of external knowledge. This method, called knowledge informed machine learning, is also applicable within the field of Prog…

cs.LG2021

EarthGAN: Can we visualize the Earth's mantle convection using a surrogate model?

Tim von Hahn, Chris K. Mechefske

Scientific simulations are often used to gain insight into foundational questions. However, many potentially useful simulation results are difficult to visualize without powerful c…

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