A new approach to analyzing complex data

Is your data too complex? This can help. In this talk, we will introduce the scattering transform, a novel approach to extract information from complex data. We will explain its principle and show that it shares mathematical similarities with convolutional neural nets — but it does not require any training and is interpretable! We will demonstrate its power by applying it to datasets in astronomy, cosmology and oceanography for parameter estimation and outlier detection.