22 citations · 38 across the 16 of their papers we have counts for
3 papers · 1 filter
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks
Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk
We study the generalization behavior of transfer learning of deep neural networks (DNNs). We adopt the overparameterization perspective -- featuring interpolation of the training d…
TITAN: Bringing The Deep Image Prior to Implicit Representations
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi +6
We study the interpolation capabilities of implicit neural representations (INRs) of images. In principle, INRs promise a number of advantages, such as continuous derivatives and a…
Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi, Paul M Mayer, Josue Casco-Rodriguez +2
The inference stage of diffusion models can be seen as running a reverse-time diffusion stochastic differential equation, where samples from a Gaussian latent distribution are tran…