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Hybrid Quantum Generative Adversarial Networks for Molecular Simulation
  and Drug Discovery

Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery

15 December 2022
Prateek Jain
Srinjoy Ganguly
    GAN
    AI4CE
ArXivPDFHTML

Papers citing "Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery"

15 / 15 papers shown
Title
Photovoltaic power forecasting using quantum machine learning
Photovoltaic power forecasting using quantum machine learning
Asel Sagingalieva
Stefan Komornyik
Arsenii Senokosov
Ayush Joshi
Alexander Sedykh
Christopher Mansell
Olga Tsurkan
67
8
0
27 Dec 2023
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
192
30,069
0
01 Mar 2022
Quantum Generative Models for Small Molecule Drug Discovery
Quantum Generative Models for Small Molecule Drug Discovery
Junde Li
R. Topaloglu
Swaroop Ghosh
GAN
64
57
0
09 Jan 2021
Learning quantum data with the quantum Earth Mover's distance
Learning quantum data with the quantum Earth Mover's distance
B. Kiani
Giacomo De Palma
M. Marvian
Zi-Wen Liu
S. Lloyd
63
45
0
08 Jan 2021
Entanglement Induced Barren Plateaus
Entanglement Induced Barren Plateaus
Carlos Ortiz Marrero
M. Kieferová
N. Wiebe
42
280
0
29 Oct 2020
Experimental Quantum Generative Adversarial Networks for Image
  Generation
Experimental Quantum Generative Adversarial Networks for Image Generation
Heliang Huang
Yuxuan Du
Mingming Gong
You-Wei Zhao
Yulin Wu
...
Chao Lu
Yu-Ao Chen
Dacheng Tao
Xiaobo Zhu
Jian-Wei Pan
GAN
33
178
0
13 Oct 2020
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
267
895
0
07 Jun 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNN
GAN
126
917
0
30 May 2018
Fréchet ChemNet Distance: A metric for generative models for molecules
  in drug discovery
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
Kristina Preuer
Philipp Renz
Thomas Unterthiner
Sepp Hochreiter
Günter Klambauer
MedIm
83
333
0
26 Mar 2018
Deep Reinforcement Learning for De-Novo Drug Design
Deep Reinforcement Learning for De-Novo Drug Design
Mariya Popova
Olexandr Isayev
Alexander Tropsha
72
1,025
0
29 Nov 2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner
Bernhard Nessler
Calvin Seward
Günter Klambauer
M. Heusel
Hubert Ramsauer
Sepp Hochreiter
GAN
55
74
0
29 Aug 2017
ChemGAN challenge for drug discovery: can AI reproduce natural chemical
  diversity?
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Mostapha Benhenda
GAN
43
102
0
28 Aug 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
69
523
0
30 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
152
9,509
0
31 Mar 2017
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
88
1,002
0
07 Nov 2016
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