Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2005.01683
Cited By
v1
v2 (latest)
Group Equivariant Generative Adversarial Networks
International Conference on Learning Representations (ICLR), 2020
4 May 2020
Neel Dey
Antong Chen
S. Ghafurian
GAN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Group Equivariant Generative Adversarial Networks"
21 / 21 papers shown
Language Models and Cycle Consistency for Self-Reflective Machine Translation
Jianqiao Wangni
HILM
LRM
179
1
0
05 Nov 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data
Neural Information Processing Systems (NeurIPS), 2024
Gyeonghoon Ko
Hyunsu Kim
Juho Lee
350
11
0
29 Oct 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy Feng
Ricardo Baptista
Katherine Bouman
MedIm
DiffM
588
9
0
18 Jun 2024
Structure Preserving Diffusion Models
Haoye Lu
S. Szabados
Yaoliang Yu
DiffM
369
2
0
29 Feb 2024
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
International Conference on Machine Learning (ICML), 2023
B. Tahmasebi
Stefanie Jegelka
366
11
0
06 Nov 2023
Flow Factorized Representation Learning
Neural Information Processing Systems (NeurIPS), 2023
Yue Song
Thomas Anderson Keller
Andrii Zadaianchuk
Max Welling
DRL
OOD
368
8
0
22 Sep 2023
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
728
5
0
22 May 2023
Efficient Equivariant Transfer Learning from Pretrained Models
Neural Information Processing Systems (NeurIPS), 2023
Sourya Basu
Pulkit Katdare
P. Sattigeri
Vijil Chenthamarakshan
Katherine Driggs Campbell
Payel Das
Lav Varshney
406
13
0
17 May 2023
Sample Complexity of Probability Divergences under Group Symmetry
International Conference on Machine Learning (ICML), 2023
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Weixia Zhu
566
14
0
03 Feb 2023
Function-space regularized Rényi divergences
Jeremiah Birrell
Yannis Pantazis
P. Dupuis
Markos A. Katsoulakis
Luc Rey-Bellet
321
10
0
10 Oct 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
Computer Methods in Applied Mechanics and Engineering (CMAME), 2022
Alexander Henkes
Henning Wessels
3DV
MedIm
AI4CE
393
49
0
31 May 2022
On-Robot Learning With Equivariant Models
Conference on Robot Learning (CoRL), 2022
Dian Wang
Ming Jia
Xu Zhu
Robin Walters
Robert Platt
OffRL
SSL
581
56
0
09 Mar 2022
Structure-preserving GANs
International Conference on Machine Learning (ICML), 2022
Jeremiah Birrell
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
GAN
399
24
0
02 Feb 2022
Symmetry-aware Neural Architecture for Embodied Visual Navigation
Shuang Liu
Takayuki Okatani
380
2
0
17 Dec 2021
Multi-Agent MDP Homomorphic Networks
International Conference on Learning Representations (ICLR), 2021
Elise van der Pol
H. V. Hoof
F. Oliehoek
Max Welling
AI4CE
422
35
0
09 Oct 2021
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
1.2K
1,966
0
23 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks
Artificial Intelligence Review (AIR), 2021
Jan E. Gerken
J. Aronsson
Oscar Carlsson
Hampus Linander
F. Ohlsson
Christoffer Petersson
Daniel Persson
MLT
370
105
0
28 May 2021
E(n) Equivariant Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2021
Victor Garcia Satorras
Emiel Hoogeboom
F. Fuchs
Ingmar Posner
Max Welling
BDL
677
225
0
19 May 2021
Autoequivariant Network Search via Group Decomposition
Sourya Basu
A. Magesh
Harshit Yadav
Lav Varshney
264
6
0
10 Apr 2021
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Maxime W. Lafarge
J. Pluim
M. Veta
DRL
231
8
0
26 Aug 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
Alexandru Paul Condurache
ViT
AI4CE
436
15
0
30 Jun 2020
1
Page 1 of 1
