Using Conditional Generative Adversarial Networks to Reduce the Effects of Latency in Robotic Telesurgery. - Neil Sachdeva; Misha Klopukh; Rachel St. Clair; William Edward Hahn (CoRR, 2020)

Predicting Binding from Screening Assays with Transformer Network Embeddings. - Paul Morris; Rachel St. Clair; William Edward Hahn; Elan Barenholtz (J. Chem. Inf. Model., 2020)

Predicting residues involved in anti-DNA autoantibodies with limited neural networks. - Rachel St. Clair; Michael Teti; Mirjana Pavlovic; William E. Hahn; Elan Barenholtz (Medical Biol. Eng. Comput., 2022)

Leveraging conscious and nonconscious learning for efficient AI. - Rachel St. Clair; L. Andrew Coward; Susan Schneider (Frontiers Comput. Neurosci., 2023)