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Hyper-Representations as Generative Models: Sampling Unseen Neural
  Network Weights

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights

29 September 2022
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
ArXivPDFHTML

Papers citing "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights"

11 / 11 papers shown
Title
A Model Zoo on Phase Transitions in Neural Networks
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
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Rana Muhammad Shahroz Khan
Dongwen Tang
Pingzhi Li
Kai Wang
Tianlong Chen
AI4CE
40
0
0
31 Mar 2025
Monomial Matrix Group Equivariant Neural Functional Networks
Monomial Matrix Group Equivariant Neural Functional Networks
Hoang V. Tran
Thieu N. Vo
Tho H. Tran
An T. Nguyen
Tan M. Nguyen
38
5
0
18 Sep 2024
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
22
2
0
21 May 2024
HyperFast: Instant Classification for Tabular Data
HyperFast: Instant Classification for Tabular Data
David Bonet
D. M. Montserrat
Xavier Giró-i-Nieto
A. Ioannidis
21
15
0
22 Feb 2024
Sparsified Model Zoo Twins: Investigating Populations of Sparsified
  Neural Network Models
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
D. Honegger
Konstantin Schurholt
Damian Borth
8
4
0
26 Apr 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet
  Models?
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
Boris Knyazev
Doha Hwang
Simon Lacoste-Julien
AI4CE
11
17
0
07 Mar 2023
Equivariant Architectures for Learning in Deep Weight Spaces
Equivariant Architectures for Learning in Deep Weight Spaces
Aviv Navon
Aviv Shamsian
Idan Achituve
Ethan Fetaya
Gal Chechik
Haggai Maron
17
63
0
30 Jan 2023
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Konstantin Schurholt
Diyar Taskiran
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
39
29
0
29 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints
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
Instance-Conditioned GAN
Instance-Conditioned GAN
Arantxa Casanova
Marlene Careil
Jakob Verbeek
M. Drozdzal
Adriana Romero Soriano
GAN
179
132
0
10 Sep 2021
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