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02/06/2023
Concrete Safety for ML Problems: System Safety for ML Development and Assessment
Many stakeholders struggle to make reliances on ML-driven systems due to...
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05/02/2022
VICE: Variational Interpretable Concept Embeddings
A central goal in the cognitive sciences is the development of numerical...
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04/23/2020
Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding
While deep neural networks (DNNs) are being increasingly used to make pr...
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12/03/2018
Knowing what you know in brain segmentation using deep neural networks
In this paper, we describe a deep neural network trained to predict Free...
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05/28/2018
Parallel Weight Consolidation: A Brain Segmentation Case Study
Collecting the large datasets needed to train deep neural networks can b...
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11/05/2016
Robustly representing inferential uncertainty in deep neural networks through sampling
As deep neural networks (DNNs) are applied to increasingly challenging p...
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11/12/2015
