Scale Equivariant Graph Metanetworks

15 June 2024

Papers citing "Scale Equivariant Graph Metanetworks"

19 / 19 papers shown

Title
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Binchi Zhang Zaiyi Zheng Zhengzhang Chen Wenlin Yao 104 0 0 01 Feb 2025
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 79 5 0 18 Sep 2024
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 44 13 0 28 Oct 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries Louis Serrano Lise Le Boudec Armand K. Koupai Thomas X. Wang Yuan Yin Jean-Noel Vittaut Patrick Gallinari AI4CE 47 35 0 12 Jun 2023
Hidden symmetries of ReLU networks J. E. Grigsby Kathryn A. Lindsey David Rolnick 42 22 0 09 Jun 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 55 18 0 07 Mar 2023
Re-basin via implicit Sinkhorn differentiation F. Guerrero-Peña H. R. Medeiros Thomas Dubail Masih Aminbeidokhti Eric Granger M. Pedersoli MoMe 47 48 0 22 Dec 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 114 67 0 26 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 268 326 0 11 Sep 2022
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks R. Entezari Hanie Sedghi O. Saukh Behnam Neyshabur MoMe 46 225 0 12 Oct 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 116 231 0 23 Mar 2021
Directed Acyclic Graph Neural Networks Veronika Thost Jie Chen GNN AI4CE 32 107 0 20 Jan 2021
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 86 2,516 0 17 Jun 2020
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 72 231 0 12 Oct 2019
Reverse-Engineering Deep ReLU Networks David Rolnick Konrad Paul Kording 36 103 0 02 Oct 2019
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 159 4,326 0 24 Jun 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 60 210 0 26 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 162 3,433 0 09 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 144 8,807 0 25 Aug 2017