Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction

15 December 2020

Papers citing "Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction"

6 / 6 papers shown

Title
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels Emma Svensson Hannah Rosa Friesacher S. Winiwarter Lewis H. Mervin Adam Arany Ola Engkvist 50 2 0 06 Sep 2024
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models Hannah Rosa Friesacher Ola Engkvist Lewis H. Mervin Yves Moreau Adam Arany 39 0 0 19 Jul 2024
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015