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1705.10843
Cited By
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"
50 / 67 papers shown
Title
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
Zimo Yan
Jie Zhang
Zheng Xie
Chang-rui Liu
Yong-Jin Liu
Yiping Song
36
0
0
22 Apr 2025
Evaluating Creative Short Story Generation in Humans and Large Language Models
Mete Ismayilzada
Claire Stevenson
Lonneke van der Plas
LM&MA
LRM
32
3
0
04 Nov 2024
Repurformer: Transformers for Repurposing-Aware Molecule Generation
Changhun Lee
Gyumin Lee
49
0
0
16 Jul 2024
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu
Chih-chan Tien
Peng Ding
Songhao Jiang
Rick L. Stevens
45
4
0
11 Jun 2024
Molecular Generative Adversarial Network with Multi-Property Optimization
Huidong Tang
Chen Li
Sayaka Kamei
Yoshihiro Yamanishi
Yasuhiko Morimoto
42
0
0
29 Mar 2024
STRIDE: Structure-guided Generation for Inverse Design of Molecules
Shehtab Zaman
D. Akhiyarov
Mauricio Araya-Polo
Kenneth Chiu
23
1
0
06 Nov 2023
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
46
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
A survey on text generation using generative adversarial networks
Gustavo de Rosa
João Paulo Papa
GAN
32
88
0
20 Dec 2022
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery
Prateek Jain
Srinjoy Ganguly
GAN
AI4CE
28
7
0
15 Dec 2022
Molecular Graph Generation by Decomposition and Reassembling
Masatsugu Yamada
M. Sugiyama
16
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
30
51
0
28 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Amin Azmoodeh
Ali Dehghantanha
42
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
21
2
0
15 Nov 2022
Probabilistic Generative Transformer Language models for Generative Design of Molecules
Lai Wei
Nihang Fu
Yuqi Song
Qian Wang
Jianjun Hu
AI4CE
33
11
0
20 Sep 2022
Checklist Models for Improved Output Fluency in Piano Fingering Prediction
Nikita Srivatsan
Taylor Berg-Kirkpatrick
16
2
0
12 Sep 2022
LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann
Kunyang Sun
Bo-Lu Zhao
Mudong Feng
Michael K. Gilson
Rose Yu
BDL
43
44
0
17 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation
Seul Lee
Jaehyeong Jo
Sung Ju Hwang
OODD
30
75
0
06 Jun 2022
An Unpooling Layer for Graph Generation
Yi Guo
Dongmian Zou
Gilad Lerman
16
2
0
04 Jun 2022
Conditional
β
β
β
-VAE for De Novo Molecular Generation
Ryan J. Richards
A. Groener
BDL
DRL
24
10
0
01 May 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
31
86
0
28 Mar 2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du
Xiaojie Guo
Amarda Shehu
Liang Zhao
63
19
0
28 Feb 2022
MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional Variational Autoencoder
Myeong-Sung Lee
K. Min
33
41
0
14 Feb 2022
Training Generative Adversarial Networks with Adaptive Composite Gradient
Huiqing Qi
Fang Li
Shengli Tan
Xiangyun Zhang
GAN
21
3
0
10 Nov 2021
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang
Jie Fu
Yoshua Bengio
Aaron Courville
31
13
0
06 Oct 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng
Zhibo Yang
Iwao Ojima
Dimitris Samaras
Fusheng Wang
AI4TS
21
100
0
09 Jun 2021
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design
AkshatKumar Nigam
R. Pollice
Alán Aspuru-Guzik
29
51
0
07 Jun 2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
Lun Jiang
N. S. Sadghiani
Zhuo Tao
Andrew Cohen
19
0
0
07 Apr 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Erik Cambria
OffRL
44
73
0
01 Jan 2021
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
37
68
0
03 Nov 2020
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models
Tomohide Masuda
Matthew Ragoza
D. Koes
DiffM
31
52
0
16 Oct 2020
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn
Junsup Kim
Hankook Lee
Jinwoo Shin
29
70
0
04 Jul 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Xia Hu
Shuiwang Ji
28
389
0
03 Jun 2020
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
18
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
45
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
26
817
0
20 Jan 2020
Molecular Generative Model Based On Adversarially Regularized Autoencoder
S. Hong
Jaechang Lim
Seongok Ryu
W. Kim
GAN
DRL
GNN
26
63
0
13 Nov 2019
Study of Deep Generative Models for Inorganic Chemical Compositions
Yoshihide Sawada
Koji Morikawa
Mikiya Fujii
GAN
14
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
19
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
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
Niklas W. A. Gebauer
M. Gastegger
Kristof T. Schütt
26
201
0
02 Jun 2019
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation
Mario Krenn
Florian Hase
AkshatKumar Nigam
Pascal Friederich
Alán Aspuru-Guzik
11
70
0
31 May 2019
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
Ryoma Sato
M. Yamada
H. Kashima
16
1
0
26 Feb 2019
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