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Complex energy landscapes in spiked-tensor and simple glassy models: ruggedness, arrangements of local minima and phase transitions

8 April 2018

Papers citing "Complex energy landscapes in spiked-tensor and simple glassy models: ruggedness, arrangements of local minima and phase transitions"

22 / 22 papers shown

Title
Learning Single-Index Models with Shallow Neural Networks A. Bietti Joan Bruna Clayton Sanford M. Song 225 71 0 27 Oct 2022
Large-N dynamics of the spiked tensor model with random initial conditions V. Sazonov 39 0 0 26 Aug 2022
Universal characteristics of deep neural network loss surfaces from random matrix theory Nicholas P. Baskerville J. Keating F. Mezzadri J. Najnudel Diego Granziol 64 4 0 17 May 2022
Learning a Single Neuron for Non-monotonic Activation Functions Lei Wu MLT 65 11 0 16 Feb 2022
Learning with latent group sparsity via heat flow dynamics on networks Subhro Ghosh Soumendu Sundar Mukherjee AI4CE 65 2 0 20 Jan 2022
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes M. Ouerfelli M. Tamaazousti V. Rivasseau 75 7 0 23 Dec 2021
Symmetry Breaking in Symmetric Tensor Decomposition Yossi Arjevani Joan Bruna M. Field Joe Kileel Matthew Trager Francis Williams 77 9 0 10 Mar 2021
Appearance of Random Matrix Theory in Deep Learning Nicholas P. Baskerville Diego Granziol J. Keating 77 11 0 12 Feb 2021
A spin-glass model for the loss surfaces of generative adversarial networks Nicholas P. Baskerville J. Keating F. Mezzadri J. Najnudel GAN 88 12 0 07 Jan 2021
Group testing and local search: is there a computational-statistical gap? Fotis Iliopoulos Ilias Zadik 44 6 0 10 Nov 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 99 91 0 16 May 2020
The Loss Surfaces of Neural Networks with General Activation Functions Nicholas P. Baskerville J. Keating F. Mezzadri J. Najnudel ODL AI4CE 131 26 0 08 Apr 2020
Iterative Averaging in the Quest for Best Test Error Diego Granziol Xingchen Wan Samuel Albanie Stephen J. Roberts 66 3 0 02 Mar 2020
Thresholds of descending algorithms in inference problems Stefano Sarao Mannelli Lenka Zdeborova AI4CE 62 4 0 02 Jan 2020
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust Estimation and Semirandom Adversaries Matthew Brennan Guy Bresler 133 12 0 08 Aug 2019
Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model Stefano Sarao Mannelli Giulio Biroli C. Cammarota Florent Krzakala Lenka Zdeborová 62 43 0 18 Jul 2019
How to iron out rough landscapes and get optimal performances: Averaged Gradient Descent and its application to tensor PCA Giulio Biroli C. Cammarota F. Ricci-Tersenghi 81 28 0 29 May 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation Luca Saglietti Yue M. Lu Carlo Lucibello 67 11 0 13 May 2019
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models Stefano Sarao Mannelli Florent Krzakala Pierfrancesco Urbani Lenka Zdeborová 88 50 0 01 Feb 2019
Statistical thresholds for Tensor PCA Aukosh Jagannath P. Lopatto Léo Miolane 59 44 0 08 Dec 2018
Algorithmic thresholds for tensor PCA Gerard Ben Arous Reza Gheissari Aukosh Jagannath 143 87 0 02 Aug 2018
The landscape of the spiked tensor model Gerard Ben Arous Song Mei Andrea Montanari Mihai Nica 84 119 0 15 Nov 2017