| Generalized rectifier wavelet covariance models for texture synthesis | 0 | 0.34 | 2022 |
| Phase Collapse in Neural Networks | 0 | 0.34 | 2022 |
| Particle gradient descent model for point process generation | 0 | 0.34 | 2022 |
| Particle gradient descent model for point process generation | 0 | 0.34 | 2022 |
| Kymatio: Scattering Transforms in Python. | 0 | 0.34 | 2020 |
| Joint Time-Frequency Scattering. | 1 | 0.38 | 2019 |
| Phase Harmonics and Correlation Invariants in Convolutional Neural Networks. | 0 | 0.34 | 2018 |
| Generative networks as inverse problems with Scattering transforms. | 4 | 0.42 | 2018 |
| Music Generation and Transformation with Moment Matching-Scattering Inverse Networks. | 1 | 0.35 | 2018 |
| Statistical learning of geometric characteristics of wireless networks. | 0 | 0.34 | 2018 |
| Multiscale Hierarchical Convolutional Networks. | 0 | 0.34 | 2017 |
| Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. | 7 | 0.54 | 2017 |
| Wavelet Scattering Regression of Quantum Chemical Energies. | 7 | 0.71 | 2017 |
| Wavelet Scattering On The Pitch Spiral | 0 | 0.34 | 2016 |
| Understanding Deep Convolutional Networks. | 83 | 3.84 | 2016 |
| Rigid Motion Model for Audio Source Separation. | 2 | 0.36 | 2016 |
| Inverse Problems with Invariant Multiscale Statistics. | 1 | 0.35 | 2016 |
| Deep Haar Scattering Networks | 0 | 0.34 | 2015 |
| Phase recovery, MaxCut and complex semidefinite programming | 37 | 1.66 | 2015 |
| Transformée en scattering sur la spirale temps-chroma-octave. | 0 | 0.34 | 2015 |
| Manifold Learning for Latent Variable Inference in Dynamical Systems | 16 | 0.96 | 2015 |
| Joint time-frequency scattering for audio classification | 7 | 0.95 | 2015 |
| Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. | 1 | 0.35 | 2014 |
| Audio source separation with time-frequency velocities | 3 | 0.38 | 2014 |
| Deep Roto-Translation Scattering for Object Classification. | 22 | 1.14 | 2014 |
| Generic Deep Networks with Wavelet Scattering. | 0 | 0.34 | 2014 |
| Phase retrieval for the Cauchy wavelet transform. | 8 | 0.63 | 2014 |
| Unsupervised Deep Haar Scattering on Graphs. | 10 | 1.62 | 2014 |
| Rigid-Motion Scattering for Texture Classification. | 6 | 0.48 | 2014 |
| Generic Deep Networks with Wavelet Scattering. | 6 | 0.57 | 2013 |
| Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination | 110 | 4.16 | 2013 |
| Deep Learning by Scattering. | 2 | 0.37 | 2013 |
| Deep Scattering Spectrum | 14 | 0.88 | 2013 |
| Invariant Scattering Convolution Networks | 293 | 9.82 | 2013 |
| Representing environmental sounds using the separable scattering transform. | 3 | 0.40 | 2013 |
| Solving inverse problems with piecewise linear estimators: from Gaussian mixture models to structured sparsity. | 193 | 5.31 | 2012 |
| Combined scattering for rotation invariant texture analysis. | 26 | 2.36 | 2012 |
| Bandlet image estimation with model selection | 1 | 0.40 | 2011 |
| Classification with invariant scattering representations | 1 | 0.35 | 2011 |
| Image modeling and enhancement via structured sparse model selection | 40 | 1.85 | 2010 |
| Classification with scattering operators | 13 | 1.12 | 2010 |
| Audio Denoising by Time-Frequency Block Thresholding | 50 | 2.79 | 2008 |
| Audio Signal Denoising with Complex Wavelets and Adaptive Block Attenuation | 5 | 0.54 | 2007 |
| A review of Bandlet methods for geometrical image representation | 31 | 1.19 | 2007 |
| Bandelet Image Approximation and Compression | 77 | 8.90 | 2005 |
| Discrete bandelets with geometric orthogonal filters | 40 | 2.26 | 2005 |
| Sparse geometric image representations with bandelets. | 322 | 28.44 | 2005 |
| Surface compression with geometric bandelets | 48 | 3.38 | 2005 |
| Surface compression with geometric bandelets. | 0 | 0.34 | 2005 |
| Locally stationary covariance and signal estimation with macrotiles | 6 | 0.65 | 2003 |
