31 citations · 64 across the 7 of their papers we have counts for
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cs.LG2023★ 15 cited
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Line Pouchard, Kristofer G. Reyes, Francis J. Alexander +1
The ability to replicate predictions by machine learning (ML) or artificial intelligence (AI) models and results in scientific workflows that incorporate such ML/AI predictions is…
cs.LG2022★ 31 cited
Multi-Objective Latent Space Optimization of Generative Molecular Design Models
A N M Nafiz Abeer, Nathan Urban, M Ryan Weil +2
Molecular design based on generative models, such as variational autoencoders (VAEs), has become increasingly popular in recent years due to its efficiency for exploring high-dimen…