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06/16/2022
Constrained Submodular Optimization for Vaccine Design
Advances in machine learning have enabled the prediction of immune syste...
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03/04/2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Neural network pruning is a popular technique used to reduce the inferen...
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01/24/2021
Maximum n-times Coverage for COVID-19 Vaccine Design
In the maximum n-times coverage problem, we are provided a set of elemen...
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03/19/2020
Overinterpretation reveals image classification model pathologies
Image classifiers are typically scored on their test set accuracy, but h...
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02/18/2020
Information Condensing Active Learning
We introduce Information Condensing Active Learning (ICAL), a batch mode...
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06/18/2019
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
The inaccuracy of neural network models on inputs that do not stem from ...
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10/09/2018
