Permutation Equivariant Neural Functionals

27 February 2023

J. Zico Kolter

Papers citing "Permutation Equivariant Neural Functionals"

43 / 43 papers shown

Title
Improving Learning to Optimize Using Parameter Symmetries Guy Zamir Aryan Dokania B. Zhao Rose Yu 22 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 32 0 0 18 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning Damian Falk Konstantin Schurholt Damian Borth 34 0 0 14 Apr 2025
TeleLoRA: Teleporting Model-Specific Alignment Across LLMs Xiao Lin Manoj Acharya Anirban Roy Susmit Jha MoMe 75 0 0 26 Mar 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 45 2 0 21 Mar 2025
ARC: Anchored Representation Clouds for High-Resolution INR Classification Joost Luijmes Alexander Gielisse Roman Knyazhitskiy J. C. V. Gemert 47 1 0 19 Mar 2025
MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling R. Teo T. Nguyen MoE 55 2 0 14 Mar 2025
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches Wei Ruan Tianze Yang Y. Zhou Tianming Liu Jin Lu MoMe 88 0 0 13 Mar 2025
On the Internal Representations of Graph Metanetworks Taesun Yeom Jaeho Lee GNN 54 0 0 12 Mar 2025
Massively Scaling Explicit Policy-conditioned Value Functions Nico Bohlinger Jan Peters OffRL 59 0 0 17 Feb 2025
CopRA: A Progressive LoRA Training Strategy Zhan Zhuang Xiequn Wang Yulong Zhang Wei Li Yu Zhang Ying Wei 33 1 0 30 Oct 2024
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 32 2 0 09 Oct 2024
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion Bowen Tian Songning Lai Yutao Yue MoMe 30 0 0 08 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
Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks Roberto Alcover-Couso Juan C. Sanmiguel Marcos Escudero-Viñolo Jose M. Martínez FedML MoMe 23 1 0 24 Sep 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 52 5 0 18 Sep 2024
LLaNA: Large Language and NeRF Assistant Andrea Amaduzzi Pierluigi Zama Ramirez Giuseppe Lisanti Samuele Salti Luigi Di Stefano 36 2 0 17 Jun 2024
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 44 6 0 15 Jun 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim Moe Putterman Robin Walters Haggai Maron Stefanie Jegelka 35 5 0 30 May 2024
Connecting NeRFs, Images, and Text Francesco Ballerini Pierluigi Zama Ramirez Roberto Mirabella Samuele Salti Luigi Di Stefano 44 4 0 11 Apr 2024
Graph Neural Networks for Learning Equivariant Representations of Neural Networks Miltiadis Kofinas Boris Knyazev Yan Zhang Yunlu Chen Gertjan J. Burghouts E. Gavves Cees G. M. Snoek David W. Zhang 44 29 0 18 Mar 2024
Learning Useful Representations of Recurrent Neural Network Weight Matrices Vincent Herrmann Francesco Faccio Jürgen Schmidhuber 21 7 0 18 Mar 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 92 18 0 04 Mar 2024
Universal Neural Functionals Allan Zhou Chelsea Finn James Harrison 27 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 23 12 0 06 Feb 2024
Deep Learning on Object-centric 3D Neural Fields Pierluigi Zama Ramirez Luca de Luigi Daniele Sirocchi Adriano Cardace Riccardo Spezialetti Francesco Ballerini Samuele Salti Luigi Di Stefano 26 2 0 20 Dec 2023
How to Train Neural Field Representations: A Comprehensive Study and Benchmark Samuele Papa Riccardo Valperga David M. Knigge Miltiadis Kofinas Phillip Lippe J. Sonke E. Gavves 27 7 0 16 Dec 2023
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 29 30 0 07 Dec 2023
Data Augmentations in Deep Weight Spaces Aviv Shamsian David W. Zhang Aviv Navon Yan Zhang Miltiadis Kofinas ... E. Gavves Cees G. M. Snoek Ethan Fetaya Gal Chechik Haggai Maron 31 1 0 15 Nov 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 21 21 0 20 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 42 4 0 02 Oct 2023
Neural Processing of Tri-Plane Hybrid Neural Fields Adriano Cardace Pierluigi Zama Ramirez Francesco Ballerini Allan Zhou Samuele Salti Luigi Di Stefano AI4CE 15 6 0 02 Oct 2023
Generating Behaviorally Diverse Policies with Latent Diffusion Models Shashank Hegde S. Batra K. Zentner Gaurav Sukhatme 41 12 0 30 May 2023
Neural Functional Transformers Allan Zhou Kaien Yang Yiding Jiang Kaylee Burns Winnie Xu Samuel Sokota J. Zico Kolter Chelsea Finn 16 31 0 22 May 2023
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 73 64 0 26 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 243 313 0 11 Sep 2022
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 219 341 0 21 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,103 0 27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021
Optimizing Mode Connectivity via Neuron Alignment N. Joseph Tatro Pin-Yu Chen Payel Das Igor Melnyk P. Sattigeri Rongjie Lai MoMe 223 80 0 05 Sep 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016