activity
20192026
most citedPDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

18 citations · 69 across the 60 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 15 cited

LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks

Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto +2

Convolutional Neural Networks (CNNs) have become indispensable for solving machine learning tasks in speech recognition, computer vision, and other areas that involve high-dimensio…

cs.GR2019

Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods

Moshe Eliasof, Andrei Sharf, Eran Treister

We consider the problem of 3D shape reconstruction from multi-modal data, given uncertain calibration parameters. Typically, 3D data modalities can be in diverse forms such as spar…