Showing 1–11 of 11 results
/ Date/ Name
Nov 5, 2016Robustly representing uncertainty in deep neural networks through samplingApr 23, 2020Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial RobustnessNov 12, 2015Representational Distance Learning for Deep Neural NetworksMay 28, 2018Distributed Weight Consolidation: A Brain Segmentation Case StudySep 8, 2020A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural ScenesDec 3, 2018Knowing what you know in brain segmentation using Bayesian deep neural networksFeb 6, 2023Concrete Safety for ML Problems: System Safety for ML Development and AssessmentMar 22, 2024Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian ModelsMay 1, 2024Reliability and predictability of phenotype information from functional connectivity in large imaging datasetsMay 2, 2022VICE: Variational Interpretable Concept EmbeddingsNov 17, 2019Quantum Computing at the Frontiers of Biological Sciences