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Evaluating Scalable Uncertainty Estimation Methods for DNN-Based
  Molecular Property Prediction

Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction

7 October 2019
Gabriele Scalia
Colin A. Grambow
Barbara Pernici
Yi‐Pei Li
W. Green
    BDL
ArXivPDFHTML

Papers citing "Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction"

3 / 3 papers shown
Title
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
172
1,778
0
02 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1