Noether: The More Things Change, the More Stay the Same

12 April 2021

Papers citing "Noether: The More Things Change, the More Stay the Same"

12 / 12 papers shown

Title
Symmetry in Neural Network Parameter Spaces Bo Zhao Robin Walters Rose Yu 22 0 0 16 Jun 2025
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks Mohammad Maheri Hamed Haddadi Alex Davidson 115 0 0 27 Apr 2025
Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks Judah Goldfeder Quinten Roets Gabe Guo John Wright Hod Lipson 60 1 0 27 Sep 2024
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows Sibylle Marcotte Rémi Gribonval Gabriel Peyré 46 1 0 21 May 2024
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows Sibylle Marcotte Rémi Gribonval Gabriel Peyré 117 19 0 30 Jun 2023
On the symmetries in the dynamics of wide two-layer neural networks Karl Hajjar Lénaïc Chizat 51 11 0 16 Nov 2022
Symmetries, flat minima, and the conserved quantities of gradient flow Bo Zhao I. Ganev Robin Walters Rose Yu Nima Dehmamy 105 20 0 31 Oct 2022
Symmetry Teleportation for Accelerated Optimization B. Zhao Nima Dehmamy Robin Walters Rose Yu ODL 103 24 0 21 May 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks Shaun Li AI4CE 71 0 0 03 Jan 2022
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 122 27 0 06 Dec 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 139 72 0 28 May 2021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances Berfin cSimcsek François Ged Arthur Jacot Francesco Spadaro Clément Hongler W. Gerstner Johanni Brea AI4CE 87 102 0 25 May 2021