Mean-field inference methods for neural networks

3 November 2019

Papers citing "Mean-field inference methods for neural networks"

8 / 8 papers shown

Title
Entropic alternatives to initialization Daniele Musso 37 1 0 16 Jul 2021
Appearance of Random Matrix Theory in Deep Learning Nicholas P. Baskerville Diego Granziol J. Keating 13 11 0 12 Feb 2021
Align, then memorise: the dynamics of learning with feedback alignment Maria Refinetti Stéphane dÁscoli Ruben Ohana Sebastian Goldt 26 36 0 24 Nov 2020
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models Sean Plummer D. Pati A. Bhattacharya 23 18 0 13 Jul 2020
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 33 100 0 25 Jun 2020
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation Elisa Oostwal Michiel Straat Michael Biehl MLT 56 54 0 16 Oct 2019
Benefits of depth in neural networks Matus Telgarsky 128 602 0 14 Feb 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 177 1,185 0 30 Nov 2014