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20082023
most citedUnderstanding Deep Convolutional Networks

708 citations · 2.8k across the 48 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.LG2022★ 10 cited

Wavelet Score-Based Generative Modeling

Florentin Guth, Simon Coste, Valentin De Bortoli +1

Score-based generative models (SGMs) synthesize new data samples from Gaussian white noise by running a time-reversed Stochastic Differential Equation (SDE) whose drift coefficient…

cond-mat.stat-mech2022★ 9 cited

Wavelet Conditional Renormalization Group

Tanguy Marchand, Misaki Ozawa, Giulio Biroli +1

We develop a multiscale approach to estimate high-dimensional probability distributions from a dataset of physical fields or configurations observed in experiments or simulations.…

astro-ph.CO2022★ 25 cited

Wavelet Moments for Cosmological Parameter Estimation

Michael Eickenberg, Erwan Allys, Azadeh Moradinezhad Dizgah +10

Extracting non-Gaussian information from the non-linear regime of structure formation is key to fully exploiting the rich data from upcoming cosmological surveys probing the large-…

physics.data-an2022★ 3 cited

Scale Dependencies and Self-Similar Models with Wavelet Scattering Spectra

Rudy Morel, Gaspar Rochette, Roberto Leonarduzzi +2

We introduce the wavelet scattering spectra which provide non-Gaussian models of time-series having stationary increments. A complex wavelet transform computes signal variations at…

cs.CV2022★ 1 cited

Generalized Rectifier Wavelet Covariance Models For Texture Synthesis

Antoine Brochard, Sixin Zhang, Stéphane Mallat

State-of-the-art maximum entropy models for texture synthesis are built from statistics relying on image representations defined by convolutional neural networks (CNN). Such repres…