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  4. Cited By
Objective-Reinforced Generative Adversarial Networks (ORGAN) for
  Sequence Generation Models

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

30 May 2017
G. L. Guimaraes
Benjamín Sánchez-Lengeling
Carlos Outeiral
Pedro Luis Cunha Farias
Alán Aspuru-Guzik
    GAN
ArXivPDFHTML

Papers citing "Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models"

24 / 74 papers shown
Title
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring
  the Chemical Space
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam
Pascal Friederich
Mario Krenn
Alán Aspuru-Guzik
AI4CE
27
128
0
25 Sep 2019
Symmetry-adapted generation of 3d point sets for the targeted discovery
  of molecules
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
Niklas W. A. Gebauer
M. Gastegger
Kristof T. Schütt
40
201
0
02 Jun 2019
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular
  string representation
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation
Mario Krenn
Florian Hase
AkshatKumar Nigam
Pascal Friederich
Alán Aspuru-Guzik
18
70
0
31 May 2019
MolecularRNN: Generating realistic molecular graphs with optimized
  properties
MolecularRNN: Generating realistic molecular graphs with optimized properties
Mariya Popova
Mykhailo Shvets
Junier Oliva
Olexandr Isayev
GNN
35
164
0
31 May 2019
Learning to Sample Hard Instances for Graph Algorithms
Learning to Sample Hard Instances for Graph Algorithms
Ryoma Sato
M. Yamada
H. Kashima
19
1
0
26 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
163
8,385
0
03 Jan 2019
Learning Multimodal Graph-to-Graph Translation for Molecular
  Optimization
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Wengong Jin
Kevin Kaichuang Yang
Regina Barzilay
Tommi Jaakkola
33
224
0
03 Dec 2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
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
197
633
0
29 Nov 2018
GuacaMol: Benchmarking Models for De Novo Molecular Design
GuacaMol: Benchmarking Models for De Novo Molecular Design
Nathan Brown
Marco Fiscato
Marwin H. S. Segler
Alain C. Vaucher
ELM
44
692
0
22 Nov 2018
Physics-Informed Generative Adversarial Networks for Stochastic
  Differential Equations
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
Siyu Dai
Shawn Schaffert
Andreas G. Hofmann
12
355
0
05 Nov 2018
Optimization of Molecules via Deep Reinforcement Learning
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou
S. Kearnes
Li Li
R. Zare
Patrick F. Riley
AI4CE
27
533
0
19 Oct 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
206
885
0
07 Jun 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNN
GAN
35
906
0
30 May 2018
Conditional molecular design with deep generative models
Conditional molecular design with deep generative models
Seokho Kang
Kyunghyun Cho
BDL
175
183
0
30 Apr 2018
Bioinformatics and Medicine in the Era of Deep Learning
Bioinformatics and Medicine in the Era of Deep Learning
D. Bacciu
P. Lisboa
José D. Martín
R. Stoean
A. Vellido
AI4CE
BDL
33
17
0
27 Feb 2018
Multi-Objective De Novo Drug Design with Conditional Graph Generative
  Model
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model
Yibo Li
L. Zhang
Zhenming Liu
43
335
0
18 Jan 2018
Overcoming data scarcity with transfer learning
Overcoming data scarcity with transfer learning
Maxwell Hutchinson
Erin Antono
Brenna M. Gibbons
S. Paradiso
Julia Ling
B. Meredig
20
81
0
02 Nov 2017
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
39
76
0
16 Sep 2017
ChemGAN challenge for drug discovery: can AI reproduce natural chemical
  diversity?
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Mostapha Benhenda
GAN
22
102
0
28 Aug 2017
Actively Learning what makes a Discrete Sequence Valid
Actively Learning what makes a Discrete Sequence Valid
David Janz
J. Westhuizen
José Miguel Hernández-Lobato
15
22
0
15 Aug 2017
Molecular De Novo Design through Deep Reinforcement Learning
Molecular De Novo Design through Deep Reinforcement Learning
Marcus Olivecrona
T. Blaschke
O. Engkvist
Hongming Chen
BDL
49
995
0
25 Apr 2017
Improving Neural Machine Translation with Conditional Sequence
  Generative Adversarial Nets
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
Zhen-Le Yang
Wei Chen
Feng Wang
Bo Xu
GAN
AI4CE
36
169
0
15 Mar 2017
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
76
2,885
0
07 Oct 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
220
1,328
0
05 Jun 2016
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