19 citations · 25 across the 3 of their papers we have counts for
6 papers
Masked LARk: Masked Learning, Aggregation and Reporting worKflow
Joseph J. Pfeiffer, Denis Charles, Davis Gilton +3
Today, many web advertising data flows involve passive cross-site tracking of users. Enabling such a mechanism through the usage of third party tracking cookies (3PC) exposes sensi…
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder
Takuya Kurihana, Elisabeth Moyer, Rebecca Willett +2
Advanced satellite-born remote sensing instruments produce high-resolution multi-spectral data for much of the globe at a daily cadence. These datasets open up the possibility of i…
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton, Gregory Ongie, Rebecca Willett
Recent efforts on solving inverse problems in imaging via deep neural networks use architectures inspired by a fixed number of iterations of an optimization method. The number of i…
Model Adaptation for Inverse Problems in Imaging
Davis Gilton, Gregory Ongie, Rebecca Willett
Deep neural networks have been applied successfully to a wide variety of inverse problems arising in computational imaging. These networks are typically trained using a forward mod…
Detection and Description of Change in Visual Streams
Davis Gilton, Ruotian Luo, Rebecca Willett +1
This paper presents a framework for the analysis of changes in visual streams: ordered sequences of images, possibly separated by significant time gaps. We propose a new approach t…
Neumann Networks for Inverse Problems in Imaging
Davis Gilton, Greg Ongie, Rebecca Willett
Many challenging image processing tasks can be described by an ill-posed linear inverse problem: deblurring, deconvolution, inpainting, compressed sensing, and superresolution all…