Stochastic Neural Networks with Infinite Width are Deterministic

30 January 2022

Papers citing "Stochastic Neural Networks with Infinite Width are Deterministic"

6 / 6 papers shown

Title
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective Li Wang Wei Huang DRL 11 0 0 09 Sep 2024
Posterior Collapse of a Linear Latent Variable Model Zihao W. Wang Liu Ziyin BDL 17 21 0 09 May 2022
Exact Solutions of a Deep Linear Network Liu Ziyin Botao Li Xiangmin Meng ODL 11 21 0 10 Feb 2022
Dropout: Explicit Forms and Capacity Control R. Arora Peter L. Bartlett Poorya Mianjy Nathan Srebro 50 36 0 06 Mar 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 264 0 13 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015