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

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

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Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 48 10 0 28 Aug 2023
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery Daniel Manu Jingjing Yao Wuji Liu Xiang Sun FedML 35 6 0 11 Apr 2023
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Molecular Graph Generation by Decomposition and Reassembling Masatsugu Yamada M. Sugiyama 24 4 0 11 Dec 2022
Improving Molecule Properties Through 2-Stage VAE Chenghui Zhou Barnabás Póczós DRL 28 1 0 06 Dec 2022
Reinforced Genetic Algorithm for Structure-based Drug Design Tianfan Fu Wenhao Gao Connor W. Coley Jimeng Sun 33 51 0 28 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 45 2 0 26 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials Shehtab Zaman E. Ferguson Cécile Pereira D. Akhiyarov Mauricio Araya-Polo Kenneth Chiu DiffM AI4CE 29 2 0 15 Nov 2022
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An Unpooling Layer for Graph Generation Yi Guo Dongmian Zou Gilad Lerman 16 2 0 04 Jun 2022
Conditional $β$ -VAE for De Novo Molecular Generation Ryan J. Richards A. Groener BDL DRL 24 10 0 01 May 2022
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Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 37 2 0 21 Jan 2022
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Unifying Likelihood-free Inference with Black-box Optimization and Beyond Dinghuai Zhang Jie Fu Yoshua Bengio Aaron Courville 31 13 0 06 Oct 2021
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Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem Lun Jiang N. S. Sadghiani Zhuo Tao Andrew Cohen 27 0 0 07 Apr 2021
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Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 29 64 0 25 Nov 2020
Optimizing Molecules using Efficient Queries from Property Evaluations Samuel C. Hoffman Vijil Chenthamarakshan Kahini Wadhawan Pin-Yu Chen Payel Das 39 69 0 03 Nov 2020
Controlled Molecule Generator for Optimizing Multiple Chemical Properties Bonggun Shin Sungsoo Park Jinyeong Bak Joyce C. Ho 33 14 0 26 Oct 2020
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models Tomohide Masuda Matthew Ragoza D. Koes DiffM 37 52 0 16 Oct 2020
Learn distributed GAN with Temporary Discriminators Hui Qu Yikai Zhang Qi Chang Zhennan Yan Chao Chen Dimitris N. Metaxas FedML 21 16 0 17 Jul 2020
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A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
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Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 30 83 0 18 May 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics G. Simm Robert Pinsler José Miguel Hernández-Lobato AI4CE 21 82 0 18 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 21 279 0 08 Feb 2020
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning Nan Jiang Sheng Jin Z. Duan Changshui Zhang OffRL 47 49 0 08 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 28 821 0 20 Jan 2020
Molecular Generative Model Based On Adversarially Regularized Autoencoder S. Hong Jaechang Lim Seongok Ryu W. Kim GAN DRL GNN 34 64 0 13 Nov 2019
Study of Deep Generative Models for Inorganic Chemical Compositions Yoshihide Sawada Koji Morikawa Mikiya Fujii GAN 20 13 0 25 Oct 2019
Machine Learning and Big Scientific Data Tony (Anthony) John Grenville Hey K. Butler Sam Jackson Jeyarajan Thiyagalingam AI4CE 28 74 0 12 Oct 2019
Generating valid Euclidean distance matrices Moritz Hoffmann Frank Noé 24 56 0 07 Oct 2019
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