Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in
Intensive Care

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

7 May 2019

Anna-Lena Popkes

José Miguel Hernández-Lobato

Papers citing "Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care"

6 / 6 papers shown

Title
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility Hoileong Lee Fadhel Ayed Paul Jung Juho Lee Hongseok Yang François Caron 46 10 0 17 May 2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis Gayathri R.G. Atul Sajjanhar Yong Xiang AAML 18 8 0 06 Mar 2022
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework Homayun Afrabandpey Tomi Peltola Juho Piironen Aki Vehtari Samuel Kaski 17 3 0 21 Oct 2019
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning J. Deasy A. Ercole Pietro Lio OOD 21 2 0 17 Sep 2019
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016