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$ω$GNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators


Oct 31, 2022
Moshe Eliasof, Lars Ruthotto, Eran Treister


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Multivariate Quantile Function Forecaster


Feb 23, 2022
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus


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slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks


Sep 28, 2021
Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto

* 26 pages, 10 figures, 1 table 

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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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Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization


Dec 11, 2020
Kelvin Kan, James G Nagy, Lars Ruthotto


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Multigrid-in-Channels Neural Network Architectures


Nov 19, 2020
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister

* This paper supersedes arXiv:2006.06799 

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Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection


Jul 26, 2020
Elizabeth Newman, Lars Ruthotto, Joseph Hart, Bart van Bloemen Waanders

* 24 pages, 9 figures, 2 tables 

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OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport


Jun 22, 2020
Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

* 8 pages, 6 figures 

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Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks


Jun 11, 2020
Jonathan Ephrath, Lars Ruthotto, Eran Treister


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