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Bounding generalization error with input compression: An empirical study with infinite-width networks


Jul 19, 2022
Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani Ioannou, Graham W. Taylor

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* 12 pages main content, 26 pages total 

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The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization


Jun 06, 2022
Mufan Bill Li, Mihai Nica, Daniel M. Roy

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Exponentially Tilted Gaussian Prior for Variational Autoencoder


Nov 30, 2021
Griffin Floto, Stefan Kremer, Mihai Nica

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Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review


Oct 16, 2021
Xinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan, Mihai Nica, Hermann Felbinger

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* 37 pages, 24 figures 

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The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization


Jun 07, 2021
Mufan Bill Li, Mihai Nica, Daniel M. Roy

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A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks


Jan 17, 2020
Jihun Han, Mihai Nica, Adam R Stinchcombe

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* 25 pages, 4 figures 

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Finite Depth and Width Corrections to the Neural Tangent Kernel


Sep 13, 2019
Boris Hanin, Mihai Nica

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* 27 pages, 2 figures, comments welcome 

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Products of Many Large Random Matrices and Gradients in Deep Neural Networks


Dec 14, 2018
Boris Hanin, Mihai Nica

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* v1. 26p. Comments Welcome 

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The landscape of the spiked tensor model


Jan 25, 2018
Gerard Ben Arous, Song Mei, Andrea Montanari, Mihai Nica

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* 40 pages, 20 pdf figures 

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