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

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

17 / 67 papers shown

Title
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 159 8,356 0 03 Jan 2019
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 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
GuacaMol: Benchmarking Models for De Novo Molecular Design Nathan Brown Marco Fiscato Marwin H. S. Segler Alain C. Vaucher ELM 44 691 0 22 Nov 2018
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 16 532 0 19 Oct 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 26 906 0 30 May 2018
Conditional molecular design with deep generative models Seokho Kang Kyunghyun Cho BDL 159 183 0 30 Apr 2018
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 Yibo Li L. Zhang Zhenming Liu 35 335 0 18 Jan 2018
Overcoming data scarcity with transfer learning Maxwell Hutchinson Erin Antono Brenna M. Gibbons S. Paradiso Julia Ling B. Meredig 18 81 0 02 Nov 2017
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 39 76 0 16 Sep 2017
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 Marcus Olivecrona T. Blaschke O. Engkvist Hongming Chen BDL 14 993 0 25 Apr 2017
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets Zhen-Le Yang Wei Chen Feng Wang Bo Xu GAN AI4CE 28 169 0 15 Mar 2017
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 26 2,885 0 07 Oct 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 214 1,327 0 05 Jun 2016