Exponential expressivity in deep neural networks through transient chaos

16 June 2016

Ben Poole

Subhaneil Lahiri

M. Raghu

Jascha Narain Sohl-Dickstein

Surya Ganguli

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Papers citing "Exponential expressivity in deep neural networks through transient chaos"

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Spectral complexity of deep neural networks Simmaco Di Lillo Domenico Marinucci Michele Salvi Stefano Vigogna BDL 82 1 0 15 May 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 103 18 0 04 Mar 2024
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Expected Gradients of Maxout Networks and Consequences to Parameter Initialization Hanna Tseran Guido Montúfar ODL 30 0 0 17 Jan 2023
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Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 53 2 0 04 Dec 2022
Characterizing the Spectrum of the NTK via a Power Series Expansion Michael Murray Hui Jin Benjamin Bowman Guido Montúfar 38 11 0 15 Nov 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 30 8 0 11 Nov 2022
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PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems Qing Jin Zhiyu Chen J. Ren Yanyu Li Yanzhi Wang Kai-Min Yang MQ 18 2 0 18 Sep 2022
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Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem Clayton Sanford Vaggos Chatziafratis 16 1 0 19 Oct 2021
Bayesian neural network unit priors and generalized Weibull-tail property M. Vladimirova Julyan Arbel Stéphane Girard BDL 54 9 0 06 Oct 2021
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