70 citations · 110 across the 33 of their papers we have counts for
6 papers · 1 filter
A Rate-Distortion Framework for Explaining Black-box Model Decisions
Stefan Kolek, Duc Anh Nguyen, Ron Levie +2
We present the Rate-Distortion Explanation (RDE) framework, a mathematically well-founded method for explaining black-box model decisions. The framework is based on perturbations o…
Cartoon Explanations of Image Classifiers
Stefan Kolek, Duc Anh Nguyen, Ron Levie +2
We present CartoonX (Cartoon Explanation), a novel model-agnostic explanation method tailored towards image classifiers and based on the rate-distortion explanation (RDE) framework…
Transferability of Graph Neural Networks: an Extended Graphon Approach
Sohir Maskey, Ron Levie, Gitta Kutyniok
We study spectral graph convolutional neural networks (GCNNs), where filters are defined as continuous functions of the graph shift operator (GSO) through functional calculus. A sp…
Existence of Uncertainty Minimizers for the Continuous Wavelet Transform
Simon Halvdansson, Jan-Fredrik Olsen, Nir Sochen +1
Continuous wavelet design is the endeavor to construct mother wavelets with desirable properties for the continuous wavelet transform (CWT). One class of methods for choosing a mot…
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
Çağkan Yapar, Ron Levie, Gitta Kutyniok +1
Global Navigation Satellite Systems typically perform poorly in urban environments, where the likelihood of line-of-sight conditions between devices and satellites is low. Therefor…
Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach
Ron Levie, Efrat Krimer Avraham, Nir Sochen
In this paper, we design mother wavelets for the 1D continuous wavelet transform with some optimality properties. An optimal mother wavelet here is one that has an ambiguity functi…