ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.10438
  4. Cited By
Uncertainty Quantification for Molecular Property Predictions with Graph
  Neural Architecture Search

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

19 July 2023
Shengli Jiang
Shiyi Qin
Reid C. Van Lehn
Prasanna Balaprakash
Victor M. Zavala
    AI4CE
ArXivPDFHTML

Papers citing "Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search"

5 / 5 papers shown
Title
Recalibration of Aleatoric and Epistemic Regression Uncertainty in
  Medical Imaging
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
M. Laves
Sontje Ihler
J. F. Fast
L. Kahrs
T. Ortmaier
OOD
UQCV
BDL
30
29
0
26 Apr 2021
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
162
1,775
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
268
5,652
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
742
0
06 Jun 2015
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
247
9,134
0
06 Jun 2015
1