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stat.ML2023
Noise Sensitivity and Stability of Deep Neural Networks for Binary Classification
Johan Jonasson, Jeffrey E. Steif, Olof Zetterqvist
A first step is taken towards understanding often observed non-robustness phenomena of deep neural net (DNN) classifiers. This is done from the perspective of Boolean functions by…
stat.ML2019
Bayesian leave-one-out cross-validation for large data
Måns Magnusson, Michael Riis Andersen, Johan Jonasson +1
Model inference, such as model comparison, model checking, and model selection, is an important part of model development. Leave-one-out cross-validation (LOO) is a general approac…