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Active learning for affinity prediction of antibodies

Active learning for affinity prediction of antibodies

Alexandra Gessner
Sebastian W. Ober
Owen Vickery
Dino Oglic
Talip Uçar
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Papers citing "Active learning for affinity prediction of antibodies"

2 / 2 papers shown
Title
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
Antoine Grosnit
Rasul Tutunov
A. Maraval
Ryan-Rhys Griffiths
Alexander I. Cowen-Rivers
...
Wenlong Lyu
Zhitang Chen
Jun Wang
Jan Peters
Haitham Bou-Ammar
BDL
DRL
43
60
0
07 Jun 2021
Automatic chemical design using a data-driven continuous representation of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
97
2,911
0
07 Oct 2016

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