Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

27 May 2022

Papers citing "Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design"

13 / 13 papers shown

Title
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 54 3 0 15 Oct 2024
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 325 4,873 0 24 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 247 2,463 0 04 Jan 2021
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation Le Fang Tao Zeng Chao-Ning Liu Liefeng Bo Wen Dong Changyou Chen DRL 67 60 0 04 Jan 2021
Review of Machine-Learning Methods for RNA Secondary Structure Prediction Qi Zhao Zheng Zhao Xiaoya Fan Zhengwei Yuan Qian Mao Yudong Yao 35 62 0 01 Sep 2020
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 228 644 0 29 Nov 2018
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction P. Schwaller Teodoro Laino John McGuinness A. Horváth Constantine Bekas A. Lee 87 730 0 06 Nov 2018
Deep Reinforcement Learning for De-Novo Drug Design Mariya Popova Olexandr Isayev Alexander Tropsha 62 1,025 0 29 Nov 2017
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 69 523 0 30 May 2017
Molecular De Novo Design through Deep Reinforcement Learning Marcus Olivecrona T. Blaschke Ola Engkvist Hongming Chen BDL 92 1,003 0 25 Apr 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning Stefan Elfwing E. Uchibe Kenji Doya 57 1,702 0 10 Feb 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 123 2,911 0 07 Oct 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 241 10,412 0 21 Jul 2016