Modelling the influence of data structure on learning in neural
networks: the hidden manifold model

Modelling the influence of data structure on learning in neural networks: the hidden manifold model

25 September 2019

Sebastian Goldt

Florent Krzakala

Lenka Zdeborová

Papers citing "Modelling the influence of data structure on learning in neural networks: the hidden manifold model"

14 / 14 papers shown

Title
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 17 0 0 29 Dec 2022
Effects of Data Geometry in Early Deep Learning Saket Tiwari George Konidaris 79 7 0 29 Dec 2022
Quantifying Relevance in Learning and Inference M. Marsili Y. Roudi 14 18 0 01 Feb 2022
The emergence of a concept in shallow neural networks E. Agliari Francesco Alemanno Adriano Barra G. D. Marzo 18 39 0 01 Sep 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model Bruno Loureiro Cédric Gerbelot Hugo Cui Sebastian Goldt Florent Krzakala M. Mézard Lenka Zdeborová 35 135 0 16 Feb 2021
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 166 39 0 25 Aug 2020
Geometric compression of invariant manifolds in neural nets J. Paccolat Leonardo Petrini Mario Geiger Kevin Tyloo M. Wyart MLT 55 34 0 22 Jul 2020
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 50 61 0 21 Jun 2020
Fractional Deep Neural Network via Constrained Optimization Harbir Antil R. Khatri R. Löhner Deepanshu Verma 30 29 0 01 Apr 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 93 152 0 02 Mar 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 25 165 0 21 Feb 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks Ginevra Carbone Matthew Wicker Luca Laurenti A. Patané Luca Bortolussi G. Sanguinetti AAML 38 77 0 11 Feb 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
The Local Elasticity of Neural Networks Hangfeng He Weijie J. Su 40 44 0 15 Oct 2019