ParticleGrid: Enabling Deep Learning using 3D Representation of Materials

15 November 2022

Papers citing "ParticleGrid: Enabling Deep Learning using 3D Representation of Materials"

7 / 7 papers shown

Title
Application of quantum-inspired generative models to small molecular datasets Charles Moussa H. Wang Mauricio Araya-Polo T. Bäck Vedran Dunjko 16 5 0 21 Apr 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 75 159 0 21 Mar 2023
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models Matthew Ragoza Tomohide Masuda D. Koes DiffM MedIm 65 31 0 17 Oct 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018
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 169 628 0 29 Nov 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018