From NeurODEs to AutoencODEs: a mean-field control framework for
width-varying Neural Networks

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From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks

5 July 2023

Cristina Cipriani

Alessandro Scagliotti

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Papers citing "From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks"

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Title
Designing Stable Neural Networks using Convex Analysis and ODEs Ferdia Sherry E. Celledoni Matthias Joachim Ehrhardt Davide Murari B. Owren Carola-Bibiane Schönlieb 82 12 0 29 Jun 2023
Learning Manifold Dimensions with Conditional Variational Autoencoders Yijia Zheng Tong He Yixuan Qiu David Wipf DRL 88 21 0 23 Feb 2023
Intrinsic dimension estimation for discrete metrics Iuri Macocco Aldo Glielmo J. Grilli Alessandro Laio 109 10 0 20 Jul 2022
Turnpike in optimal control of PDEs, ResNets, and beyond Borjan Geshkovski Enrique Zuazua 50 34 0 08 Feb 2022
Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems A. Scagliotti 40 13 0 24 Oct 2021
Large-time asymptotics in deep learning Carlos Esteve Borjan Geshkovski Dario Pighin Enrique Zuazua 342 34 0 06 Aug 2020
A Mean-Field Optimal Control Formulation of Deep Learning Weinan E Jiequn Han Qianxiao Li OOD 108 186 0 03 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 429 5,156 0 19 Jun 2018
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Convolutional Neural Networks at Constrained Time Cost Kaiming He Jian Sun 3DV 88 1,292 0 04 Dec 2014