Graph Metanetworks for Processing Diverse Neural Architectures

7 December 2023

Papers citing "Graph Metanetworks for Processing Diverse Neural Architectures"

30 / 30 papers shown

Title
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 58 0 0 25 Apr 2025
Improving Learning to Optimize Using Parameter Symmetries Guy Zamir Aryan Dokania B. Zhao Rose Yu 17 0 0 21 Apr 2025
Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training Andrea Amaduzzi Pierluigi Zama Ramirez Giuseppe Lisanti Samuele Salti Luigi Di Stefano 27 0 0 18 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning Damian Falk Konstantin Schurholt Damian Borth 29 0 0 14 Apr 2025
A Model Zoo of Vision Transformers Damian Falk Léo Meynent Florence Pfammatter Konstantin Schurholt Damian Borth 29 0 0 14 Apr 2025
End-to-End Implicit Neural Representations for Classification Alexander Gielisse J. C. V. Gemert 42 0 0 23 Mar 2025
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction Léo Meynent Ivan Melev Konstantin Schurholt Göran Kauermann Damian Borth 39 2 0 21 Mar 2025
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective A. Moharil I. Kumara Damian Tamburri Majid Mohammadi Willem-jan Van Den Heuvel 50 0 0 18 Mar 2025
Charting and Navigating Hugging Face's Model Atlas Eliahu Horwitz Nitzan Kurer Jonathan Kahana Liel Amar Yedid Hoshen 31 0 0 13 Mar 2025
On the Internal Representations of Graph Metanetworks Taesun Yeom Jaeho Lee GNN 54 0 0 12 Mar 2025
Local and Global Decoding in Text Generation Daniel Gareev Thomas Hofmann Ezhilmathi Krishnasamy Tiago Pimentel 29 3 0 14 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations Yonatan Sverdlov Ido Springer Nadav Dym 16 2 0 09 Oct 2024
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models Theo Putterman Derek Lim Yoav Gelberg Stefanie Jegelka Haggai Maron AI4CE 43 5 0 05 Oct 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 43 5 0 18 Sep 2024
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 24 0 0 25 Aug 2024
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks Yoav Gelberg Tycho F. A. van der Ouderaa Mark van der Wilk Y. Gal AAML 24 3 0 10 Aug 2024
LLaNA: Large Language and NeRF Assistant Andrea Amaduzzi Pierluigi Zama Ramirez Giuseppe Lisanti Samuele Salti Luigi Di Stefano 21 2 0 17 Jun 2024
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 39 6 0 15 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields David R. Wessels David M. Knigge Samuele Papa Riccardo Valperga Sharvaree P. Vadgama E. Gavves Erik J. Bekkers 33 7 0 09 Jun 2024
Learning equivariant tensor functions with applications to sparse vector recovery Wilson Gregory Josué Tonelli-Cueto Nicholas F. Marshall Andrew S. Lee Soledad Villar 29 1 0 03 Jun 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim Moe Putterman Robin Walters Haggai Maron Stefanie Jegelka 27 5 0 30 May 2024
Connecting NeRFs, Images, and Text Francesco Ballerini Pierluigi Zama Ramirez Roberto Mirabella Samuele Salti Luigi Di Stefano 29 4 0 11 Apr 2024
Universal Neural Functionals Allan Zhou Chelsea Finn James Harrison 17 12 0 07 Feb 2024
Improved Generalization of Weight Space Networks via Augmentations Aviv Shamsian Aviv Navon David W. Zhang Yan Zhang Ethan Fetaya Gal Chechik Haggai Maron 15 5 0 06 Feb 2024
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 11 21 0 20 Oct 2023
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 41 29 0 29 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 64 64 0 26 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 157 136 0 28 Jan 2022
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021