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Disentangling by Subspace Diffusion

Disentangling by Subspace Diffusion

23 June 2020
David Pfau
I. Higgins
Aleksandar Botev
S. Racanière
    DiffM
    DRL
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Papers citing "Disentangling by Subspace Diffusion"

13 / 13 papers shown
Title
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
90
0
0
04 Feb 2025
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSL
OOD
BDL
DRL
102
3
0
29 Oct 2024
Robust GAN inversion
Robust GAN inversion
Egor Sevriugov
Ivan Oseledets
29
0
0
31 Aug 2023
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
43
1
0
22 Nov 2022
On a Built-in Conflict between Deep Learning and Systematic
  Generalization
On a Built-in Conflict between Deep Learning and Systematic Generalization
Yuanpeng Li
OOD
45
0
0
24 Aug 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
31
44
0
17 Mar 2022
Unsupervised Learning of Group Invariant and Equivariant Representations
Unsupervised Learning of Group Invariant and Equivariant Representations
R. Winter
Marco Bertolini
Tuan Le
Frank Noé
Djork-Arné Clevert
28
41
0
15 Feb 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and
  Oversmoothing in GNNs
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
32
170
0
09 Feb 2022
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Nima Dehmamy
Robin Walters
Yanchen Liu
Dashun Wang
Rose Yu
AI4CE
78
81
0
15 Sep 2021
Learning disentangled representations via product manifold projection
Learning disentangled representations via product manifold projection
Marco Fumero
Luca Cosmo
Simone Melzi
Emanuele Rodolà
CoGe
DRL
18
22
0
02 Mar 2021
Towards Building A Group-based Unsupervised Representation
  Disentanglement Framework
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
Tao Yang
Xuanchi Ren
Yuwang Wang
W. Zeng
Nanning Zheng
CoGe
DRL
19
27
0
20 Feb 2021
Linear Disentangled Representations and Unsupervised Action Estimation
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew Painter
Jonathon S. Hare
Adam Prugel-Bennett
CoGe
DRL
39
20
0
18 Aug 2020
Spectral Inference Networks: Unifying Deep and Spectral Learning
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
51
40
0
06 Jun 2018
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