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Conditional $β$-VAE for De Novo Molecular Generation

Conditional βββ-VAE for De Novo Molecular Generation

1 May 2022
Ryan J. Richards
A. Groener
    BDLDRL
ArXiv (abs)PDFHTML

Papers citing "Conditional $β$-VAE for De Novo Molecular Generation"

38 / 38 papers shown
Title
High-Dimensional Bayesian Optimisation with Variational Autoencoders and
  Deep Metric Learning
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
Antoine Grosnit
Rasul Tutunov
A. Maraval
Ryan-Rhys Griffiths
Alexander I. Cowen-Rivers
...
Wenlong Lyu
Zhitang Chen
Jun Wang
Jan Peters
Haitham Bou-Ammar
BDLDRL
76
61
0
07 Jun 2021
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Chenchen Xu
Qiao Liu
Minlie Huang
Tao Jiang
GNNOffRL
35
20
0
14 Nov 2020
Goal directed molecule generation using Monte Carlo Tree Search
Goal directed molecule generation using Monte Carlo Tree Search
Anand A. Rajasekar
Karthik Raman
Balaraman Ravindran
24
6
0
30 Oct 2020
Conditional Constrained Graph Variational Autoencoders for Molecule
  Design
Conditional Constrained Graph Variational Autoencoders for Molecule Design
Davide Rigoni
Nicoló Navarin
A. Sperduti
BDL
58
18
0
01 Sep 2020
BERT Learns (and Teaches) Chemistry
BERT Learns (and Teaches) Chemistry
Josh Payne
Mario Srouji
Dian Ang Yap
V. Kosaraju
49
10
0
11 Jul 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
Chengxi Zang
Fei Wang
BDL
127
294
0
17 Jun 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative
  Models via Weighted Retraining
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp
Erik A. Daxberger
José Miguel Hernández-Lobato
MedIm
72
141
0
16 Jun 2020
Learning To Navigate The Synthetically Accessible Chemical Space Using
  Reinforcement Learning
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
S. Gottipati
B. Sattarov
Sufeng Niu
Yashaswi Pathak
Haoran Wei
...
Simon R. Blackburn
Connor W. Coley
Jian Tang
Sarath Chandar
Yoshua Bengio
43
110
0
26 Apr 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
173
438
0
26 Jan 2020
Black Box Recursive Translations for Molecular Optimization
Black Box Recursive Translations for Molecular Optimization
Farhan N. Damani
Vishnu Sresht
Stephen Ra
39
5
0
21 Dec 2019
Re-balancing Variational Autoencoder Loss for Molecule Sequence
  Generation
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation
Chao-chao Yan
Sheng Wang
Jinyu Yang
Tingyang Xu
Junzhou Huang
DRL
36
33
0
01 Oct 2019
Graph Residual Flow for Molecular Graph Generation
Graph Residual Flow for Molecular Graph Generation
Shion Honda
Hirotaka Akita
Katsuhiko Ishiguro
Toshiki Nakanishi
Kenta Oono
58
42
0
30 Sep 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
72
167
0
31 May 2019
All SMILES Variational Autoencoder
All SMILES Variational Autoencoder
Zaccary Alperstein
Artem Cherkasov
J. Rolfe
DRL
51
38
0
30 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Kaushalya Madhawa
Katushiko Ishiguro
Kosuke Nakago
Motoki Abe
BDL
108
192
0
28 May 2019
Variational AutoEncoder For Regression: Application to Brain Aging
  Analysis
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
Qingyu Zhao
Ehsan Adeli
N. Honnorat
Tuo Leng
K. Pohl
DRLBDL
64
85
0
11 Apr 2019
Mol-CycleGAN - a generative model for molecular optimization
Mol-CycleGAN - a generative model for molecular optimization
Łukasz Maziarka
Agnieszka Pocha
Jan Kaczmarczyk
Krzysztof Rataj
M. Warchoł
53
250
0
06 Feb 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDLDRL
88
273
0
16 Jan 2019
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
112
711
0
22 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
94
542
0
19 Oct 2018
Molecular Hypergraph Grammar with its Application to Molecular
  Optimization
Molecular Hypergraph Grammar with its Application to Molecular Optimization
Hiroshi Kajino
47
104
0
08 Sep 2018
Message-passing neural networks for high-throughput polymer screening
Message-passing neural networks for high-throughput polymer screening
Peter C. St. John
Caleb Phillips
Travis W. Kemper
A. N. Wilson
M. Crowley
M. Nimlos
R. Larsen
AI4CE
52
112
0
26 Jul 2018
Molecular generative model based on conditional variational autoencoder
  for de novo molecular design
Molecular generative model based on conditional variational autoencoder for de novo molecular design
Jaechang Lim
Seongok Ryu
Jin Woo Kim
W. Kim
BDLDRL
63
333
0
15 Jun 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
295
902
0
07 Jun 2018
Conditional molecular design with deep generative models
Conditional molecular design with deep generative models
Seokho Kang
Kyunghyun Cho
BDL
226
183
0
30 Apr 2018
Syntax-Directed Variational Autoencoder for Structured Data
Syntax-Directed Variational Autoencoder for Structured Data
H. Dai
Yingtao Tian
Bo Dai
Steven Skiena
Le Song
102
329
0
24 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
352
1,369
0
12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNNBDL
120
851
0
09 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
728
132,199
0
12 Jun 2017
Objective-Reinforced Generative Adversarial Networks (ORGAN) for
  Sequence Generation Models
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
G. L. Guimaraes
Benjamín Sánchez-Lengeling
Carlos Outeiral
Pedro Luis Cunha Farias
Alán Aspuru-Guzik
GAN
82
525
0
30 May 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
155
2,736
0
02 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
171
2,939
0
07 Oct 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
279
11,151
0
14 Mar 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMatRALM
109
1,123
0
25 Jan 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
113
2,364
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
257
6,784
0
03 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
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