activity
20222024
most citedScattering Spectra Models for Physics

15 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

q-fin.GN2024

Riding Wavelets: A Method to Discover New Classes of Price Jumps

Cecilia Aubrun, Rudy Morel, Michael Benzaquen +1

Cascades of events and extreme occurrences have garnered significant attention across diverse domains such as financial markets, seismology, and social physics. Such events can ste…

q-fin.MF2023

Path Shadowing Monte-Carlo

Rudy Morel, Stéphane Mallat, Jean-Philippe Bouchaud

We introduce a Path Shadowing Monte-Carlo method, which provides prediction of future paths, given any generative model. At any given date, it averages future quantities over gener…

physics.data-an2023★ 15 cited

Scattering Spectra Models for Physics

Sihao Cheng, Rudy Morel, Erwan Allys +2

Physicists routinely need probabilistic models for a number of tasks such as parameter inference or the generation of new realizations of a field. Establishing such models for high…

cs.LG2023★ 1 cited

Multi-scale clustering and source separation of InSight mission seismic data

Ali Siahkoohi, Rudy Morel, Randall Balestriero +4

Unsupervised source separation involves unraveling an unknown set of source signals recorded through a mixing operator, with limited prior knowledge about the sources, and only acc…

cs.LG2023★ 1 cited

Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data

Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop +3

Source separation involves the ill-posed problem of retrieving a set of source signals that have been observed through a mixing operator. Solving this problem requires prior knowle…

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…