Ron Levie | DeepAI

DeepAI AI Chat

Featured Co-authors

Giuseppe Caire
151 publications
Stephan Günnemann
100 publications
Joan Bruna
96 publications
Eyke Hüllermeier
79 publications
Michael M. Bronstein
60 publications
Gitta Kutyniok
53 publications
Soledad Villar
33 publications
Haim Avron
32 publications
Elvin Isufi
27 publications
Christopher Morris
22 publications
Aleksandar Bojchevski
18 publications

∙ 08/21/2023

Approximately Equivariant Graph Networks

Graph neural networks (GNNs) are commonly described as being permutation...

0 Ningyuan Huang, et al. ∙

∙ 06/06/2023

Fine-grained Expressivity of Graph Neural Networks

Numerous recent works have analyzed the expressive power of message-pass...

0 Jan Böker, et al. ∙

∙ 05/25/2023

A graphon-signal analysis of graph neural networks

We present an approach for analyzing message passing graph neural networ...

0 Ron Levie, et al. ∙

∙ 11/28/2022

On the Effective Usage of Priors in RSS-based Localization

In this paper, we study the localization problem in dense urban settings...

0 Çağkan Yapar, et al. ∙

∙ 11/22/2022

Explaining Image Classifiers with Multiscale Directional Image Representation

Image classifiers are known to be difficult to interpret and therefore r...

0 Stefan Kolek, et al. ∙

∙ 11/18/2022

Dataset of Pathloss and ToA Radio Maps With Localization Application

In this article, we present a collection of radio map datasets in dense ...

0 Çağkan Yapar, et al. ∙

∙ 10/15/2022

Unveiling the Sampling Density in Non-Uniform Geometric Graphs

A powerful framework for studying graphs is to consider them as geometri...

0 Raffaele Paolino, et al. ∙

∙ 06/11/2022

Memorization-Dilation: Modeling Neural Collapse Under Noise

The notion of neural collapse refers to several emergent phenomena that ...

27 Duc Anh Nguyen, et al. ∙

∙ 02/01/2022

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning

This paper deals with the problem of localization in a cellular network ...

0 Çağkan Yapar, et al. ∙

∙ 02/01/2022

Stability and Generalization Capabilities of Message Passing Graph Neural Networks

Message passing neural networks (MPNN) have seen a steep rise in popular...

3 Sohir Maskey, et al. ∙

∙ 10/12/2021

A Rate-Distortion Framework for Explaining Black-box Model Decisions

We present the Rate-Distortion Explanation (RDE) framework, a mathematic...

0 Stefan Kolek, et al. ∙

∙ 10/07/2021

Cartoon Explanations of Image Classifiers

We present CartoonX (Cartoon Explanation), a novel model-agnostic explan...

0 Stefan Kolek, et al. ∙

∙ 09/21/2021

Transferability of Graph Neural Networks: an Extended Graphon Approach

We study spectral graph convolutional neural networks (GCNNs), where fil...

0 Sohir Maskey, et al. ∙

∙ 08/26/2021

Existence of Uncertainty Minimizers for the Continuous Wavelet Transform

Continuous wavelet design is the endeavor to construct mother wavelets w...

0 Simon Halvdansson, et al. ∙

∙ 06/23/2021

Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach

This paper deals with the problem of localization in a cellular network ...

0 Çağkan Yapar, et al. ∙

∙ 04/04/2021

Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach

In this paper, we design mother wavelets for the 1D continuous wavelet t...

0 Ron Levie, et al. ∙

∙ 11/03/2020

Quasi Monte Carlo Time-Frequency Analysis

We study signal processing tasks in which the signal is mapped via some ...

0 Ron Levie, et al. ∙

∙ 09/20/2020

Randomized Continuous Frames in Time-Frequency Analysis

Recently, a Monte Carlo approach was proposed for speeding up signal pro...

0 Ron Levie, et al. ∙

∙ 07/01/2020

In-Distribution Interpretability for Challenging Modalities

It is widely recognized that the predictions of deep neural networks are...

16 Cosmas Heiß, et al. ∙

∙ 06/09/2020

Real-time Localization Using Radio Maps

This paper deals with the problem of localization in a cellular network ...

0 Çağkan Yapar, et al. ∙

∙ 11/17/2019

RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks

In this paper we propose a highly efficient and very accurate method for...

0 Ron Levie, et al. ∙

∙ 07/30/2019

Transferability of Spectral Graph Convolutional Neural Networks

This paper focuses on spectral graph convolutional neural networks (Conv...

32 Ron Levie, et al. ∙

∙ 01/29/2019

On the Transferability of Spectral Graph Filters

This paper focuses on spectral filters on graphs, namely filters defined...

0 Ron Levie, et al. ∙

∙ 12/07/2017

A wavelet Plancherel theory with application to sparse continuous wavelet transform

We introduce a framework for calculating sparse approximations to signal...

0 Ron Levie, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world