ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.02185
  4. Cited By
Classification and reconstruction of optical quantum states with deep
  neural networks

Classification and reconstruction of optical quantum states with deep neural networks

3 December 2020
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
ArXivPDFHTML

Papers citing "Classification and reconstruction of optical quantum states with deep neural networks"

49 / 49 papers shown
Title
Quantum State Tomography with Conditional Generative Adversarial
  Networks
Quantum State Tomography with Conditional Generative Adversarial Networks
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
GAN
3DPC
60
126
0
07 Aug 2020
Descending through a Crowded Valley - Benchmarking Deep Learning
  Optimizers
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt
Frank Schneider
Philipp Hennig
ODL
66
164
0
03 Jul 2020
Attention-based Quantum Tomography
Attention-based Quantum Tomography
Peter Cha
P. Ginsparg
Felix Wu
Juan Carrasquilla
Peter L. McMahon
Eun-Ah Kim
39
75
0
22 Jun 2020
Optimal Bounds between $f$-Divergences and Integral Probability Metrics
Optimal Bounds between fff-Divergences and Integral Probability Metrics
R. Agrawal
Thibaut Horel
19
38
0
10 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
393
41,106
0
28 May 2020
Learning to Simulate Dynamic Environments with GameGAN
Learning to Simulate Dynamic Environments with GameGAN
Seung Wook Kim
Yuhao Zhou
Jonah Philion
Antonio Torralba
Sanja Fidler
GAN
39
102
0
25 May 2020
Machine learning assisted quantum state estimation
Machine learning assisted quantum state estimation
Sanjaya Lohani
Brian T. Kirby
M. Brodsky
Onur Danaci
R. Glasser
104
80
0
06 Mar 2020
Computer-inspired Quantum Experiments
Computer-inspired Quantum Experiments
Mario Krenn
Manuel Erhard
A. Zeilinger
40
73
0
23 Feb 2020
Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Haik Manukian
Y. Pei
Sean R. B. Bearden
M. Di Ventra
24
11
0
15 Jan 2020
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
110
822
0
31 Dec 2019
Neural Density Estimation and Likelihood-free Inference
Neural Density Estimation and Likelihood-free Inference
George Papamakarios
BDL
DRL
44
45
0
29 Oct 2019
On Empirical Comparisons of Optimizers for Deep Learning
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi
Christopher J. Shallue
Zachary Nado
Jaehoon Lee
Chris J. Maddison
George E. Dahl
53
259
0
11 Oct 2019
Sparse Generative Adversarial Network
Sparse Generative Adversarial Network
Shahin Mahdizadehaghdam
Ashkan Panahi
Hamid Krim
GAN
27
32
0
20 Aug 2019
Experimental quantum homodyne tomography via machine learning
Experimental quantum homodyne tomography via machine learning
E. Tiunov
V. Tiunova
Alexander Ulanov
A. Lvovsky
A. Fedorov
77
56
0
15 Jul 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
53
2,322
0
06 Jun 2019
Experimental neural network enhanced quantum tomography
Experimental neural network enhanced quantum tomography
A. M. Palmieri
E. Kovlakov
Federico Bianchi
D. Yudin
S. Straupe
Jacob Biamonte
S. Kulik
20
158
0
11 Apr 2019
From Variational to Deterministic Autoencoders
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
52
271
0
29 Mar 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GAN
OOD
53
157
0
06 Mar 2019
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative
  Adversarial Networks
TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu
Tekin Bicer
R. Kettimuthu
D. Gursoy
F. Carlo
Ian Foster
MedIm
GAN
52
96
0
20 Feb 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
479
10,466
0
12 Dec 2018
A hybrid machine-learning algorithm for designing quantum experiments
A hybrid machine-learning algorithm for designing quantum experiments
L. O'Driscoll
R. Nichols
P. Knott
18
49
0
07 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
196
5,363
0
28 Sep 2018
Maximum likelihood quantum state tomography is inadmissible
Maximum likelihood quantum state tomography is inadmissible
C. Ferrie
R. Blume-Kohout
10
15
0
03 Aug 2018
Discovering physical concepts with neural networks
Discovering physical concepts with neural networks
Raban Iten
Tony Metger
H. Wilming
L. D. Rio
R. Renner
PINN
AI4CE
40
387
0
26 Jul 2018
Approximability of Discriminators Implies Diversity in GANs
Approximability of Discriminators Implies Diversity in GANs
Yu Bai
Tengyu Ma
Andrej Risteski
34
74
0
27 Jun 2018
Supervised learning with quantum enhanced feature spaces
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
26
1,799
0
30 Apr 2018
The Three Pillars of Machine Programming
The Three Pillars of Machine Programming
Justin Emile Gottschlich
Armando Solar-Lezama
Nesime Tatbul
Michael Carbin
Martin Rinard
Regina Barzilay
Saman P. Amarasinghe
J. Tenenbaum
Tim Mattson
63
62
0
20 Mar 2018
Noise2Noise: Learning Image Restoration without Clean Data
Noise2Noise: Learning Image Restoration without Clean Data
J. Lehtinen
Jacob Munkberg
J. Hasselgren
S. Laine
Tero Karras
M. Aittala
Timo Aila
65
1,591
0
12 Mar 2018
Semi-Supervised Learning with IPM-based GANs: an Empirical Study
Semi-Supervised Learning with IPM-based GANs: an Empirical Study
Tom Sercu
Youssef Mroueh
GAN
46
1
0
07 Dec 2017
Experimental learning of quantum states
Experimental learning of quantum states
Andrea Rocchetto
Scott Aaronson
Simone Severini
G. Carvacho
D. Poderini
I. Agresti
M. Bentivegna
F. Sciarrino
34
69
0
30 Nov 2017
Estimating Cosmological Parameters from the Dark Matter Distribution
Estimating Cosmological Parameters from the Dark Matter Distribution
Siamak Ravanbakhsh
Junier Oliva
S. Fromenteau
Layne Price
S. Ho
J. Schneider
Barnabás Póczós
28
75
0
06 Nov 2017
Neural-Network Quantum States, String-Bond States, and Chiral
  Topological States
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
I. Glasser
Nicola Pancotti
Moritz August
I. D. Rodriguez
J. I. Cirac
113
227
0
11 Oct 2017
Learning hard quantum distributions with variational autoencoders
Learning hard quantum distributions with variational autoencoders
Andrea Rocchetto
Edward Grant
Sergii Strelchuk
Giuseppe Carleo
Simone Severini
BDL
DRL
58
77
0
02 Oct 2017
Active learning machine learns to create new quantum experiments
Active learning machine learns to create new quantum experiments
A. Melnikov
Hendrik Poulsen Nautrup
Mario Krenn
Vedran Dunjko
M. Tiersch
A. Zeilinger
Hans J. Briegel
36
263
0
02 Jun 2017
Transforming Bell's Inequalities into State Classifiers with Machine
  Learning
Transforming Bell's Inequalities into State Classifiers with Machine Learning
Yue-Chi Ma
M. Yung
26
76
0
02 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
107
9,509
0
31 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
116
4,817
0
26 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
267
19,560
0
21 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
183
19,796
0
07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
745
14,454
0
07 Oct 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
107
6,962
0
13 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
113
3,689
0
27 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
290
18,300
0
27 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
517
36,643
0
08 Jun 2015
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
195
10,365
0
06 Nov 2014
scikit-image: Image processing in Python
scikit-image: Image processing in Python
Stéfan van der Walt
Johannes L. Schonberger
Juan Nunez-Iglesias
François Boulogne
Joshua D. Warner
Neil Yager
Emmanuelle Gouillart
Tony Yu
the scikit-image contributors
SSeg
GP
VLM
94
4,351
0
23 Jul 2014
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
117
2,191
0
10 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
332
16,972
0
20 Dec 2013
1