Recorded 29 November 2021. Alejandro Torres-Forné of the University of Valencia presents "Variational models and algorithms for GW denoising and reconstruction: applications" at IPAM's Workshop IV: Big Data in Multi-Messenger Astrophysics. Abstract: In this talk, we will show the application of the different methods to different GW signals obtained from simulations under different noise conditions. We will also, show the application of these techniques to real data from detectors, comparing how the results change from Gaussian to real noise. In addition, we will test if the dictionary learning methods can be applied to classify different classes of signals and glitches. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-big-data-in-multi-messenger-astrophysics/?tab=schedule