1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2023★ 1 cited
CLAIMED -- the open source framework for building coarse-grained operators for accelerated discovery in science
Romeo Kienzler, Rafflesia Khan, Jerome Nilmeier +2
In modern data-driven science, reproducibility and reusability are key challenges. Scientists are well skilled in the process from data to publication. Although some publication ch…
cs.LG2021
CLAIMED, a visual and scalable component library for Trusted AI
Romeo Kienzler, Ivan Nesic
Deep Learning models are getting more and more popular but constraints on explainability, adversarial robustness and fairness are often major concerns for production deployment. Al…