Equivariant Architectures for Learning in Deep Weight Spaces

30 January 2023

Papers citing "Equivariant Architectures for Learning in Deep Weight Spaces"

50 / 62 papers shown

Title
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 68 0 0 25 Apr 2025
Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training Andrea Amaduzzi Pierluigi Zama Ramirez Giuseppe Lisanti Samuele Salti Luigi Di Stefano 34 0 0 18 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning Damian Falk Konstantin Schurholt Damian Borth 36 0 0 14 Apr 2025
End-to-End Implicit Neural Representations for Classification Alexander Gielisse J. C. V. Gemert 44 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 47 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
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 60 0 0 18 Mar 2025
MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling R. Teo T. Nguyen MoE 58 2 0 14 Mar 2025
Charting and Navigating Hugging Face's Model Atlas Eliahu Horwitz Nitzan Kurer Jonathan Kahana Liel Amar Yedid Hoshen 41 0 0 13 Mar 2025
On the Internal Representations of Graph Metanetworks Taesun Yeom Jaeho Lee GNN 59 0 0 12 Mar 2025
Can We Optimize Deep RL Policy Weights as Trajectory Modeling? Hongyao Tang OffRL 77 0 0 06 Mar 2025
Adversarial Robustness in Parameter-Space Classifiers Tamir Shor Ethan Fetaya Chaim Baskin A. Bronstein AAML OOD 171 0 0 27 Feb 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 67 0 0 24 Feb 2025
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields Paul Friedrich Florentin Bieder P. Cattin MedIm 62 0 0 20 Feb 2025
Massively Scaling Explicit Policy-conditioned Value Functions Nico Bohlinger Jan Peters OffRL 64 0 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 59 0 0 01 Feb 2025
Score-based 3D molecule generation with neural fields Matthieu Kirchmeyer Pedro H. O. Pinheiro Saeed Saremi DiffM 45 0 0 15 Jan 2025
Neural Network Diffusion Kaili Wang Dongwen Tang Boya Zeng Yida Yin Zhaopan Xu Yukun Zhou Zelin Zang Trevor Darrell Zhuang Liu Yang You DiffM 56 17 0 03 Jan 2025
CopRA: A Progressive LoRA Training Strategy Zhan Zhuang Xiequn Wang Yulong Zhang Wei Li Yu Zhang Ying Wei 38 1 0 30 Oct 2024
Local and Global Decoding in Text Generation Daniel Gareev Thomas Hofmann Ezhilmathi Krishnasamy Tiago Pimentel 31 0 0 14 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations Yonatan Sverdlov Ido Springer Nadav Dym 35 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
Towards Croppable Implicit Neural Representations Maor Ashkenazi Eran Treister 31 1 0 28 Sep 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 54 5 0 18 Sep 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 37 4 0 10 Aug 2024
Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks Zhicheng Cai Hao Zhu Qiu Shen Xinran Wang Xun Cao 41 0 0 25 Jul 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta Jonathan Lorraine Steve Masson Ramanathan Arunachalam Zaid Pervaiz Bhat James Lucas Arun George Zachariah 49 4 0 26 Jun 2024
LLaNA: Large Language and NeRF Assistant Andrea Amaduzzi Pierluigi Zama Ramirez Giuseppe Lisanti Samuele Salti Luigi Di Stefano 41 2 0 17 Jun 2024
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos Giorgos Bouritsas Yannis Panagakis 44 6 0 15 Jun 2024
Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals Zhicheng Cai 36 0 0 06 Jun 2024
Encoding Semantic Priors into the Weights of Implicit Neural Representation Zhicheng Cai Qiu Shen 30 0 0 06 Jun 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim Moe Putterman Robin Walters Haggai Maron Stefanie Jegelka 43 5 0 30 May 2024
Connecting NeRFs, Images, and Text Francesco Ballerini Pierluigi Zama Ramirez Roberto Mirabella Samuele Salti Luigi Di Stefano 52 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 23 7 0 18 Mar 2024
Universal Neural Functionals Allan Zhou Chelsea Finn James Harrison 29 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 25 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 31 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
Mosaic-SDF for 3D Generative Models Lior Yariv Omri Puny Natalia Neverova Oran Gafni Y. Lipman 24 37 0 14 Dec 2023
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 34 31 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 29 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 17 6 0 02 Oct 2023
Representation-Driven Reinforcement Learning Ofir Nabati Guy Tennenholtz Shie Mannor 20 1 0 31 May 2023
Neural Functional Transformers Allan Zhou Kaien Yang Yiding Jiang Kaylee Burns Winnie Xu Samuel Sokota J. Zico Kolter Chelsea Finn 21 31 0 22 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 22 1 0 19 May 2023
Exploring the Complexity of Deep Neural Networks through Functional Equivalence Guohao Shen 27 2 0 19 May 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models D. Honegger Konstantin Schurholt Damian Borth 31 4 0 26 Apr 2023