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pathGCN: Learning General Graph Spatial Operators from Paths


Jul 15, 2022
Moshe Eliasof, Eldad Haber, Eran Treister

* ICML 2022 

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A-Optimal Active Learning


Oct 18, 2021
Tue Boesen, Eldad Haber

* 11 pages, submitted to SIAM journal on Mathematics of Data Science 

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PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations


Aug 04, 2021
Moshe Eliasof, Eldad Haber, Eran Treister


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An Introduction to Deep Generative Modeling


Mar 09, 2021
Lars Ruthotto, Eldad Haber

* 25 pages, 11 pages 

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Mimetic Neural Networks: A unified framework for Protein Design and Folding


Feb 07, 2021
Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister


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Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients


Jul 08, 2020
Keegan Lensink, Issam Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber

* 9 pages, 5 figures. Fix typo in delimiter between author names in arXiv metadata 

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Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing


Mar 16, 2020
Bas Peters, Eldad Haber, Keegan Lensink


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Symmetric block-low-rank layers for fully reversible multilevel neural networks


Dec 14, 2019
Bas Peters, Eldad Haber, Keegan Lensink


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LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks


Oct 29, 2019
Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister


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Fluid Flow Mass Transport for Generative Networks


Oct 07, 2019
Jingrong Lin, Keegan Lensink, Eldad Haber


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