Hidden symmetries of ReLU networks

9 June 2023

Papers citing "Hidden symmetries of ReLU networks"

18 / 18 papers shown

Title
Symmetry in Neural Network Parameter Spaces Bo Zhao Robin Walters Rose Yu 27 0 0 16 Jun 2025
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks Nandi Schoots M. Villani Niels uit de Bos 117 0 0 03 Mar 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 170 2 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 218 1 0 01 Feb 2025
Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry Giovanni Luca Marchetti Vahid Shahverdi Stefano Mereta Matthew Trager Kathlén Kohn 159 3 0 31 Jan 2025
Where Do Large Learning Rates Lead Us? Ildus Sadrtdinov M. Kodryan Eduard Pokonechny E. Lobacheva Dmitry Vetrov AI4CE 104 1 0 29 Oct 2024
On Functional Dimension and Persistent Pseudodimension J. E. Grigsby Kathryn A. Lindsey 128 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 146 9 0 18 Sep 2024
Relative Representations: Topological and Geometric Perspectives Alejandro García-Castellanos Giovanni Luca Marchetti Danica Kragic Martina Scolamiero 103 1 0 17 Sep 2024
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 125 11 0 15 Jun 2024
The Real Tropical Geometry of Neural Networks Marie-Charlotte Brandenburg Georg Loho Guido Montúfar 119 8 0 18 Mar 2024
Training-Free Pretrained Model Merging Zhenxing Xu Ke Yuan Huiqiong Wang Yong Wang Mingli Song Mingli Song MoMe 96 18 0 04 Mar 2024
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent Emanuel Aldea Gianni Franchi BDL UQCV 79 8 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 75 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 38 2 0 19 Sep 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 162 37 0 29 Apr 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 146 8 0 25 Apr 2023
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 168 137 0 10 Mar 2020