10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization
Farhan Damani, David H Brookes, Theodore Sternlieb +5
Model-based optimization (MBO) is increasingly applied to design problems in science and engineering. A common scenario involves using a fixed training set to train models, with th…
cs.LG2019★ 10 cited
Black Box Recursive Translations for Molecular Optimization
Farhan Damani, Vishnu Sresht, Stephen Ra
Machine learning algorithms for generating molecular structures offer a promising new approach to drug discovery. We cast molecular optimization as a translation problem, where the…
cs.LG2019★ 3 cited
Discrete Object Generation with Reversible Inductive Construction
Ari Seff, Wenda Zhou, Farhan Damani +2
The success of generative modeling in continuous domains has led to a surge of interest in generating discrete data such as molecules, source code, and graphs. However, constructio…