Hidden symmetries of ReLU networks

9 June 2023

Papers citing "Hidden symmetries of ReLU networks"

20 / 20 papers shown

Title
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks Nandi Schoots M. Villani Niels uit de Bos 84 0 0 03 Mar 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 92 1 0 17 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Binchi Zhang Zaiyi Zheng Zhengzhang Chen Wenlin Yao 77 0 0 01 Feb 2025
An Invitation to Neuroalgebraic Geometry Giovanni Luca Marchetti Vahid Shahverdi Stefano Mereta Matthew Trager Kathlén Kohn 119 2 0 31 Jan 2025
Where Do Large Learning Rates Lead Us? Ildus Sadrtdinov M. Kodryan Eduard Pokonechny E. Lobacheva Dmitry Vetrov AI4CE 44 0 0 29 Oct 2024
On Functional Dimension and Persistent Pseudodimension J. E. Grigsby Kathryn A. Lindsey 28 0 0 22 Oct 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 54 5 0 18 Sep 2024
Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos Giovanni Luca Marchetti Danica Kragic Martina Scolamiero 55 0 0 17 Sep 2024
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 53 6 0 15 Jun 2024
The Real Tropical Geometry of Neural Networks Marie-Charlotte Brandenburg Georg Loho Guido Montúfar 62 7 0 18 Mar 2024
Training-Free Pretrained Model Merging Zhenxing Xu Ke Yuan Huiqiong Wang Yong Wang Mingli Song Mingli Song MoMe 37 15 0 04 Mar 2024
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent Emanuel Aldea Gianni Franchi BDL UQCV 27 5 0 12 Oct 2023
$Geometric structure of Deep Learning networks and construction of global ${\mathcal L}^2$ minimizers$ Geometric structure of Deep Learning networks and construction of global ${\mathcal L}^2$ minimizers Thomas Chen Patrícia Muñoz Ewald 39 4 0 19 Sep 2023
$Geometric structure of shallow neural networks and constructive ${\mathcal L}^2$ cost minimization$ Geometric structure of shallow neural networks and constructive ${\mathcal L}^2$ cost minimization Thomas Chen Patrícia Muñoz Ewald 13 2 0 19 Sep 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 102 33 0 29 Apr 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 37 5 0 25 Apr 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 257 318 0 11 Sep 2022
Functional dimension of feedforward ReLU neural networks J. E. Grigsby Kathryn A. Lindsey R. Meyerhoff Chen-Chun Wu 32 11 0 08 Sep 2022
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics D. Kunin Javier Sagastuy-Breña Surya Ganguli Daniel L. K. Yamins Hidenori Tanaka 107 77 0 08 Dec 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 84 134 0 10 Mar 2020