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Generative Adversarial Networks recover features in astrophysical images
  of galaxies beyond the deconvolution limit

Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit

1 February 2017
Kevin Schawinski
Ce Zhang
Hantian Zhang
Lucas Fowler
G. Santhanam
    GAN
ArXiv (abs)PDFHTML

Papers citing "Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit"

48 / 48 papers shown
Leveraging GNN to Enhance MEF Method in Predicting ENSO
Leveraging GNN to Enhance MEF Method in Predicting ENSO
Saghar Ganji
Ahmad Reza Labibzadeh
Alireza Hassani
Mohammad Naisipour
208
0
0
10 Aug 2025
Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset
Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset
Shantanusinh Parmar
344
1
0
04 Aug 2025
Detecting and Refining HiRISE Image Patches Obscured by Atmospheric Dust
Detecting and Refining HiRISE Image Patches Obscured by Atmospheric Dust
Kunal Sunil Kasodekar
84
1
0
08 May 2024
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses
  in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)Astronomical Journal (AJ), 2024
Xu Li
Ruiqi Sun
Jiameng Lv
P. Jia
Nan Li
...
Jingtian Xian
Youhua Xu
Tianmeng Zhang
Xin Zhang
Zhi-min Zhou
200
4
0
02 Apr 2024
How to Do Machine Learning with Small Data? -- A Review from an
  Industrial Perspective
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective
I. Kraljevski
Yong Chul Ju
Dmitrij Ivanov
Constanze Tschope
M. Wolff
AI4CE
257
10
0
13 Nov 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Santanu Ganguly
GAN
269
6
0
15 Aug 2023
HRTF upsampling with a generative adversarial network using a gnomonic
  equiangular projection
HRTF upsampling with a generative adversarial network using a gnomonic equiangular projectionIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Aidan O. T. Hogg
Mads Jenkins
Helena E. Liu
Isaac Squires
Samuel J. Cooper
L. Picinali
234
39
0
09 Jun 2023
A Possible Converter to Denoise the Images of Exoplanet Candidates
  through Machine Learning Techniques
A Possible Converter to Denoise the Images of Exoplanet Candidates through Machine Learning TechniquesNew Astronomy (New Astron.), 2022
P. Chintarungruangchai
I. Jiang
J. Hashimoto
Yukihiro Komatsu
M. Konishi
100
2
0
11 Jan 2023
Using a Conditional Generative Adversarial Network to Control the
  Statistical Characteristics of Generated Images for IACT Data Analysis
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis
J. J. Dubenskaya
A. Kryukov
A. Demichev
S. P. Polyakov
E. Gres
A. A. Vlaskina
GAN
139
7
0
28 Nov 2022
Generative Adversarial Networks for Astronomical Images Generation
Generative Adversarial Networks for Astronomical Images Generation
D. Coccomini
Nicola Messina
Claudio Gennaro
Fabrizio Falchi
GAN
174
3
0
22 Nov 2021
A Quantum Generative Adversarial Network for distributions
A Quantum Generative Adversarial Network for distributions
Amine Assouel
A. Jacquier
A. Kondratyev
GNNGANOOD
290
20
0
04 Oct 2021
A Machine-Learning-Based Direction-of-Origin Filter for the
  Identification of Radio Frequency Interference in the Search for
  Technosignatures
A Machine-Learning-Based Direction-of-Origin Filter for the Identification of Radio Frequency Interference in the Search for TechnosignaturesAstronomical Journal (AJ), 2021
P. Pinchuk
J. Margot
187
18
0
28 Jul 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
  Decomposition
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space DecompositionThe VLDB journal (VLDBJ), 2021
Yan Zhao
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Tengjiao Wang
LRM
226
55
0
19 Jul 2021
Morphological classification of compact and extended radio galaxies
  using convolutional neural networks and data augmentation techniques
Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniquesMonthly notices of the Royal Astronomical Society (MNRAS), 2021
V. Maslej-Krešňáková
K. E. Bouchefry
P. Butka
137
12
0
01 Jul 2021
Statistical inference for generative adversarial networks and other
  minimax problems
Statistical inference for generative adversarial networks and other minimax problemsScandinavian Journal of Statistics (Scand. J. Stat.), 2021
Mika Meitz
GAN
231
6
0
21 Apr 2021
A Data Quality-Driven View of MLOps
A Data Quality-Driven View of MLOpsIEEE Data Engineering Bulletin (DEB), 2021
Cédric Renggli
Luka Rimanic
Nezihe Merve Gürel
Bojan Karlavs
Wentao Wu
Ce Zhang
AI4TS
207
71
0
15 Feb 2021
A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid
  Survey
A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid SurveyPublications of the Astronomical Society of the Pacific (PASP), 2021
Amandin Chyba Rabeendran
L. Denneau
87
15
0
22 Jan 2021
Galaxy Image Translation with Semi-supervised Noise-reconstructed
  Generative Adversarial Networks
Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial NetworksInternational Conference on Pattern Recognition (ICPR), 2021
Qiufan Lin
D. Fouchez
Jérôme Pasquet
GAN
237
7
0
19 Jan 2021
Point Spread Function Estimation for Wide Field Small Aperture
  Telescopes with Deep Neural Networks and Calibration Data
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration DataMonthly notices of the Royal Astronomical Society (MNRAS), 2020
P. Jia
Xuebo Wu
Zhengyang Li
Bo Li
Weihua Wang
Qiang Liu
A. Popowicz
188
13
0
20 Nov 2020
Data--driven Image Restoration with Option--driven Learning for Big and
  Small Astronomical Image Datasets
Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets
P. Jia
Ruiyu Ning
Ruiqi Sun
Xiaoshan Yang
Dongmei Cai
GAN
151
13
0
07 Nov 2020
AI-assisted super-resolution cosmological simulations
AI-assisted super-resolution cosmological simulations
Yin Li
Y. Ni
R. Croft
T. Di Matteo
Simeon Bird
Yu Feng
282
56
0
13 Oct 2020
A Survey on Deep Learning Methods for Semantic Image Segmentation in
  Real-Time
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time
G. Takos
SSeg3DVVLM
253
21
0
27 Sep 2020
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution
  Prediction
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution PredictionDesign Automation Conference (DAC), 2020
Haoliang Jiang
Zhenguo Nie
Roselyn Yeo
A. Farimani
Levent Burak Kara
GAN
184
24
0
30 May 2020
Classifying CMB time-ordered data through deep neural networks
Classifying CMB time-ordered data through deep neural networks
F. Rojas
L. Maurin
R. Dünner
K. Pichara
131
4
0
13 Apr 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot
  classification
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classificationEuropean Conference on Computer Vision (ECCV), 2020
M. Lichtenstein
P. Sattigeri
Rogerio Feris
Raja Giryes
Leonid Karlinsky
237
81
0
14 Mar 2020
Machine learning and serving of discrete field theories -- when
  artificial intelligence meets the discrete universe
Machine learning and serving of discrete field theories -- when artificial intelligence meets the discrete universeScientific Reports (Sci Rep), 2019
H. Qin
325
31
0
22 Oct 2019
Cosmological N-body simulations: a challenge for scalable generative
  models
Cosmological N-body simulations: a challenge for scalable generative modelsComputational Astrophysics and Cosmology (CAC), 2019
Nathanael Perraudin
Ankit Srivastava
Aurelien Lucchi
T. Kacprzak
Thomas Hofmann
Alexandre Réfrégier
271
38
0
15 Aug 2019
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal
  Properties of Texture Features
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture FeaturesAstrophysical Journal (ApJ), 2019
P. Jia
Yi Huang
Bojun Cai
Dongmei Cai
187
17
0
29 Jul 2019
Quantitative Overfitting Management for Human-in-the-loop ML Application
  Development with ease.ml/meter
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter
F. Hubis
Wentao Wu
Ce Zhang
237
6
0
01 Jun 2019
Image-based model parameter optimization using Model-Assisted Generative
  Adversarial Networks
Image-based model parameter optimization using Model-Assisted Generative Adversarial Networks
Saúl Alonso-Monsalve
L. Whitehead
GAN
291
36
0
30 Nov 2018
Probabilistic Random Forest: A machine learning algorithm for noisy
  datasets
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
I. Reis
D. Baron
Sahar Shahaf
161
160
0
14 Nov 2018
Training Generative Adversarial Networks with Weights
Training Generative Adversarial Networks with WeightsEuropean Signal Processing Conference (EUSIPCO), 2018
Sufeng Duan
D. Paul
M. Fasoulakis
Y. Stylianou
GAN
117
6
0
06 Nov 2018
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic
  Retinopathy: A Survey
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey
Norah M. Asiri
M. Hussain
Fadwa Al Adel
Hatim Aboalsamh
209
255
0
03 Nov 2018
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep
  Learning
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning
Zhao-jie Zhang
Lei Huang
U. Manor
Linjing Fang
G. Merlo
C. Michoski
J. Cazes
N. Gaffney
138
22
0
27 Sep 2018
Stellar Cluster Detection using GMM with Deep Variational Autoencoder
Stellar Cluster Detection using GMM with Deep Variational Autoencoder
Arnab Karmakar
Deepak Mishra
A. Tej
DRL
139
6
0
05 Sep 2018
Scalable Population Synthesis with Deep Generative Modeling
Scalable Population Synthesis with Deep Generative Modeling
S. Borysov
Jeppe Rich
Francisco Câmara Pereira
169
70
0
21 Aug 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim
Vinicius Azevedo
N. Thürey
Theodore Kim
Markus Gross
B. Solenthaler
GAN
368
421
0
06 Jun 2018
Fast cosmic web simulations with generative adversarial networks
Fast cosmic web simulations with generative adversarial networks
Andrés C. Rodríguez
T. Kacprzak
Aurelien Lucchi
A. Amara
R. Sgier
J. Fluri
Thomas Hofmann
Alexandre Réfrégier
GANAI4CE
441
96
0
27 Jan 2018
Modeling urbanization patterns with generative adversarial networks
Modeling urbanization patterns with generative adversarial networks
A. Albert
E. Strano
Jasleen Kaur
Marta C. González
GAN
206
42
0
08 Jan 2018
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer
  Electromagnetic Calorimeters with Generative Adversarial Networks
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
Michela Paganini
Luke de Oliveira
Benjamin Nachman
AI4CEGAN
212
349
0
21 Dec 2017
Pulsar Candidate Identification with Artificial Intelligence Techniques
Pulsar Candidate Identification with Artificial Intelligence Techniques
Ping Guo
Fuqing Duan
Pei Wang
Yao Yao
Qian Yin
Xin Xin
202
14
0
27 Nov 2017
A Review of Convolutional Neural Networks for Inverse Problems in
  Imaging
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann
Kyong Hwan Jin
M. Unser
3DV
241
645
0
11 Oct 2017
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning
  Workloads
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li
Jie Zhong
Ji Liu
Wentao Wu
Ce Zhang
116
76
0
24 Aug 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using
  Generative Adversarial Networks
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial NetworksComputational Astrophysics and Cosmology (CAC), 2017
M. Mustafa
Deborah Bard
W. Bhimji
Z. Lukić
Rami Al-Rfou
J. Kratochvil
GAN
554
127
0
07 Jun 2017
Accelerating Science with Generative Adversarial Networks: An
  Application to 3D Particle Showers in Multi-Layer Calorimeters
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters
Michela Paganini
Luke de Oliveira
Benjamin Nachman
AI4CE
313
244
0
05 May 2017
Unsupervised Holistic Image Generation from Key Local Patches
Unsupervised Holistic Image Generation from Key Local Patches
Donghoon Lee
Sangdoo Yun
Sungjoon Choi
Hwiyeon Yoo
Ming-Hsuan Yang
Songhwai Oh
GAN
210
12
0
31 Mar 2017
The ZipML Framework for Training Models with End-to-End Low Precision:
  The Cans, the Cannots, and a Little Bit of Deep Learning
The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning
Hantian Zhang
Jerry Li
Kaan Kara
Dan Alistarh
Ji Liu
Ce Zhang
MQ
379
20
0
16 Nov 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
654
3,378
0
17 May 2016
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