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04/29/2022
Bayesian Benefit Risk Analysis
The process of approving and assessing new drugs is often quite complica...
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07/06/2021
Intrinsic uncertainties and where to find them
We introduce a framework for uncertainty estimation that both describes ...
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11/15/2019
Explanatory Masks for Neural Network Interpretability
Neural network interpretability is a vital component for applications ac...
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09/14/2019
Metric-Based Few-Shot Learning for Video Action Recognition
In the few-shot scenario, a learner must effectively generalize to unsee...
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08/06/2019
Sparse hierarchical representation learning on molecular graphs
Architectures for sparse hierarchical representation learning have recen...
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02/12/2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Learning high quality class representations from few examples is a key p...
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06/06/2017