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Assigning Confidence to Molecular Property Prediction

Assigning Confidence to Molecular Property Prediction

23 February 2021
AkshatKumar Nigam
R. Pollice
Matthew F. D. Hurley
Riley J. Hickman
Matteo Aldeghi
Naruki Yoshikawa
Seyone Chithrananda
Vincent A. Voelz
Alán Aspuru-Guzik
    AI4CE
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Papers citing "Assigning Confidence to Molecular Property Prediction"

5 / 5 papers shown
Title
Materials Property Prediction with Uncertainty Quantification: A
  Benchmark Study
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
Daniel Varivoda
Rongzhi Dong
Sadman Sadeed Omee
Jianjun Hu
AI4CE
28
20
0
04 Nov 2022
On scientific understanding with artificial intelligence
On scientific understanding with artificial intelligence
Mario Krenn
R. Pollice
S. Guo
Matteo Aldeghi
Alba Cervera-Lierta
...
Florian Hase
A. Jinich
AkshatKumar Nigam
Zhenpeng Yao
Alán Aspuru-Guzik
33
186
0
04 Apr 2022
Calibrated Uncertainty for Molecular Property Prediction using Ensembles
  of Message Passing Neural Networks
Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks
Jonas Busk
Peter Bjørn Jørgensen
Arghya Bhowmik
Mikkel N. Schmidt
Ole Winther
T. Vegge
28
49
0
13 Jul 2021
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural
  Networks for Inverse Molecular Design
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design
AkshatKumar Nigam
R. Pollice
Alán Aspuru-Guzik
29
51
0
07 Jun 2021
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
5,661
0
05 Dec 2016
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