Oktai Tatanov

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Proceedings of the 24th international conference on Machine learning 2007 John Langford
Joëlle Pineau
1
+ Density estimation using Real NVP 2016 Laurent Dinh
Jascha Sohl‐Dickstein
Samy Bengio
1
+ PDF Chat MoleculeNet: a benchmark for molecular machine learning 2017 Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
Caleb Geniesse
Aneesh Pappu
Karl Leswing
Vijay S. Pande
1
+ Neural Message Passing for Quantum Chemistry 2017 Justin Gilmer
Samuel S. Schoenholz
Patrick Riley
Oriol Vinyals
George E. Dahl
1
+ PDF Chat Molecular de-novo design through deep reinforcement learning 2017 Marcus Olivecrona
Thomas Blaschke
Ola Engkvist
Hongming Chen
1
+ Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models 2017 Gabriel Lima Guimaraes
Benjamín Sánchez-Lengeling
Pedro Luis Cunha Farias
Alán Aspuru‐Guzik
1
+ ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? 2017 Mostapha Benhenda
1
+ PDF Chat ChemTS: an efficient python library for <i>de novo</i> molecular generation 2017 Xiufeng Yang
Jinzhe Zhang
Kazuki Yoshizoe
Kei Terayama
Koji Tsuda
1
+ Syntax-Directed Variational Autoencoder for Structured Data 2018 Hanjun Dai
Yingtao Tian
Bo Dai
Steven Skiena
Le Song
1
+ Junction Tree Variational Autoencoder for Molecular Graph Generation 2018 Wengong Jin
Regina Barzilay
Tommi Jaakkola
1
+ PDF Chat Conditional Molecular Design with Deep Generative Models 2018 Seokho Kang
Kyunghyun Cho
1
+ PDF Chat Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery 2018 Kristina Preuer
Philipp Renz
Thomas Unterthiner
Sepp Hochreiter
Günter Klambauer
1
+ Proceedings of the 25th international conference on Machine learning 2008 William W. Cohen
Andrew McCallum
Sam T. Roweis
1
+ Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control 2016 Natasha Jaques
Shixiang Gu
Dzmitry Bahdanau
José Miguel Hernández-Lobato
Richard E. Turner
Douglas Eck
1
+ PDF Chat GuacaMol: Benchmarking Models for de Novo Molecular Design 2019 Nathan Brown
Marco Fiscato
Marwin Segler
Alain C. Vaucher
1
+ PDF Chat SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient 2017 Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
1
+ GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation 2020 Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
1
+ Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules 2018 Rafael Gómez‐Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
Jorge Aguilera‐Iparraguirre
Timothy Hirzel
Ryan P. Adams
Alán Aspuru‐Guzik
1
+ PDF Chat Deep reinforcement learning for de novo drug design 2018 Mariya Popova
Olexandr Isayev
Alexander Tropsha
1
+ PDF Chat Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models 2020 Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
Stanislav Belyaev
Rauf Kurbanov
Aleksey Artamonov
Vladimir Aladinskiy
Mark S. Veselov
1
+ Adversarial Autoencoders 2015 Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
1
+ Progressive Growing of GANs for Improved Quality, Stability, and Variation 2017 Tero Karras
Timo Aila
Samuli Laine
Jaakko Lehtinen
1
+ MolGAN: An implicit generative model for small molecular graphs 2018 Nicola De Cao
Thomas Kipf
1