Fetching the paper…
Reading the bibliography…
Deep convolutional networks provide state of the art classifications and regressions results over many high-dimensional problems.
Carrier J, Greengard L, Rokhlin V. 1988 A Fast Adaptive Multipole Algorithm for Particle Simulations
1988
Earlier work this paper cites.
Le Cun Y, Boser B, Denker J, Henderson D, Howard R, Hubbard W, Jackelt L. 1990 Handwritten digit recognition with a back-propagation network
1990
Earlier work this paper cites.
Candès E, Donoho D. 1999, Ridglets: a key to high-dimensional intermittency ? Phil. Trans. Roy. S. A
1999
Earlier work this paper cites.
Lowe DG. 2004 SIFT: Scale Invariant Feature Transform
2004
Earlier work this paper cites.
Mesgarani M, Slaney M, Shamma S. 2006 Discrimination of speech from nonspeech based on multiscale spectro-temporal modulations
2006
Earlier work this paper cites.
J. Petitot, 2008 Neurogémétrie de la vision
2008
Earlier work this paper cites.
Hastie T, Tibshirani R, Friedman J. 2009 The elements of statistical learning
2009
Earlier work this paper cites.
Glinsky M 2011 A new perspective on renormalization: the scattering transformation
2011
Earlier work this paper cites.
Hinton G, Li D, Yu D, Dahl G, Mohamed A, Jaitly N, Senior A, Vanhoucke V, Nguyen P, Sainath T, Kingsbury B. 2012 Deep neural networks for acoustic modeling in speech recognition
2012
Earlier work this paper cites.
Krizhevsky A, Sutskever I, Hinton G. 2012 ImageNet classification with deep convolutional neural networks
2012
Earlier work this paper cites.
Mallat S. 2012, Group Invariant Scattering
2012
Earlier work this paper cites.
2013
Cited alongside, same era.
Bruna J, Mallat S. 2013, Invariant Scattering Convolution Networks
2013
Cited alongside, same era.
Sifre L, Mallat S. 2013 Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination
2013
Cited alongside, same era.
Agrawal A, Girshick R, Malik J, 2014, Analyzing the Performance of Multilayer Neural Networks for Object Recognition
2014
Cited alongside, same era.
Andèn J, Mallat S. 2014 Deep Scattering Spectrum
2014
Cited alongside, same era.
Bruna J., Szlam A., Le Cun Y., 2014, Learning Stable Group Invariant Representations with Convolutional Networks
Bruna J, Mallat S, Bacry E, Muzy JF. 2015 Intermittent process analysis with scattering moments
2015
Later among the works it cites.
Bruna J, Mallat S. 2015 Stochastic scattering models
2015
Later among the works it cites.
Denton E, Chintala S, Szlam A, Fergus R. 2015 Deep generative image models using a Laplacian pyramid of adversarial networks
2015
Later among the works it cites.
2015
Later among the works it cites.
Hirn M, Poilvert N, Mallat S. 2015 Quantum energy regression using scattering transforms
2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2014
Cited alongside, same era.
2014
Cited alongside, same era.
Leung MK, Xiong HY, Lee LJ, Frey BJ. 2014 Deep learning of the tissue regulated splicing code
2014
Cited alongside, same era.
Szegedy C, Erhan D, Zaremba W, Sutskever I, Goodfellow I, Bruna J, Fergus R. 2014, Intriguing properties of neural networks
2014
Cited alongside, same era.
Andèn J, Lostanlen V, Mallat S. 2015, Joint time-frequency scattering for audio classification
2015
Cited alongside, same era.
Aubry M, Russell B. 2015 Understanding deep features with computer-generated imagery
2015
Cited alongside, same era.
Le Cun Y, Bengio Y, Hinton G. 2015 Deep learning
2015
Later among the works it cites.
Oyallon E, Mallat S. 2015 Deep roto-translation scattering for object classification
2015
Later among the works it cites.
Sutskever I, Vinyals O, Le QV. 2015 Sequence to sequence learning with neural networks
2015
Later among the works it cites.
Waldspurger I. 2015 Wavelet transform modulus: phase retrieval and scattering
2015
Later among the works it cites.
Radford A, Metz L, Chintala S. 2016 Unsupervised representation learning with deep convolutional generative adversarial networks,
2016
Closest in time.