6 citations · 9 across the 3 of their papers we have counts for
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cs.LG2026
How to make the most of your masked language model for protein engineering
Calvin McCarter, Nick Bhattacharya, Sebastian W. Ober +1
A plethora of protein language models have been released in recent years. Yet comparatively little work has addressed how to best sample from them to optimize desired biological pr…
cs.LG2024
Unmasking Trees for Tabular Data
Calvin McCarter
Despite much work on advanced deep learning and generative modeling techniques for tabular data generation and imputation, traditional methods have continued to win on imputation b…
cs.LG2022★ 6 cited
Adaptive Block Floating-Point for Analog Deep Learning Hardware
Ayon Basumallik, Darius Bunandar, Nicholas Dronen +6
Analog mixed-signal (AMS) devices promise faster, more energy-efficient deep neural network (DNN) inference than their digital counterparts. However, recent studies show that DNNs…