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Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge
5 April 2022
M. S. Ghaemi
Karl Grantham
Isaac Tamblyn
Yifeng Li
H. K. Ooi
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Papers citing
"Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge"
4 / 4 papers shown
Title
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
Gregory W. Kyro
Anton Morgunov
Rafael I. Brent
Victor S. Batista
30
12
0
11 Sep 2023
CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design
M. S. Ghaemi
Hang Hu
A. Hu
H. K. Ooi
BDL
22
0
0
21 Feb 2023
Machine learning for the prediction of safe and biologically active organophosphorus molecules
Hangchen Hu
H. K. Ooi
M. S. Ghaemi
A. Hu
14
2
0
21 Feb 2023
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
194
633
0
29 Nov 2018
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