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Rotation-invariant convolutional neural networks for galaxy morphology
  prediction

Rotation-invariant convolutional neural networks for galaxy morphology prediction

24 March 2015
Sander Dieleman
K. Willett
J. Dambre
ArXivPDFHTML

Papers citing "Rotation-invariant convolutional neural networks for galaxy morphology prediction"

10 / 10 papers shown
Title
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z<1.4z < 1.4z<1.4 in the Hyper Supreme-Cam Wide Survey
Chuan Tian
C. Urry
Aritra Ghosh
Daisuke Nagai
T. Ananna
...
Connor Auge
Aayush Mishra
D. Sanders
N. Cappelluti
Kevin Schawinski
59
0
0
28 Jan 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
64
4
0
03 Oct 2024
Graph-based Isometry Invariant Representation Learning
Graph-based Isometry Invariant Representation Learning
Renata Khasanova
P. Frossard
75
55
0
01 Mar 2017
Steerable CNNs
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
101
498
0
27 Dec 2016
Machine learning applied to single-shot x-ray diagnostics in an XFEL
Machine learning applied to single-shot x-ray diagnostics in an XFEL
Alvaro Sanchez-Gonzalez
P. Micaelli
C. Olivier
T. Barillot
M. Ilchen
...
M. Vacher
D. Walke
V. Zhaunerchyk
Ryan N. Coffee
J. Marangos
33
81
0
11 Oct 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
86
364
0
08 Feb 2016
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
141
4,856
0
21 Dec 2013
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
72
1,420
0
23 Nov 2012
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
385
7,650
0
03 Jul 2012
Practical recommendations for gradient-based training of deep
  architectures
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DH
ODL
146
2,195
0
24 Jun 2012
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