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Linear Disentangled Representations and Unsupervised Action Estimation

Linear Disentangled Representations and Unsupervised Action Estimation

18 August 2020
Matthew Painter
Jonathon S. Hare
Adam Prugel-Bennett
    CoGe
    DRL
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Papers citing "Linear Disentangled Representations and Unsupervised Action Estimation"

12 / 12 papers shown
Title
Measuring Orthogonality in Representations of Generative Models
Measuring Orthogonality in Representations of Generative Models
Robin Geyer
Alessandro Torcinovich
João B. S. Carvalho
Alexander Meyer
Joachim M. Buhmann
CML
32
0
0
04 Jul 2024
Enriching Disentanglement: From Logical Definitions to Quantitative
  Metrics
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Yivan Zhang
Masashi Sugiyama
22
1
0
19 May 2023
Equivariant Representation Learning in the Presence of Stabilizers
Equivariant Representation Learning in the Presence of Stabilizers
Luis Armando
∗. GiovanniLucaMarchetti
Danica Kragic
D. Jarnikov
Mike Holenderski
29
0
0
12 Jan 2023
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
29
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
34
0
0
24 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under
  Combination Shift
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Yivan Zhang
Jindong Wang
Xingxu Xie
Masashi Sugiyama
OOD
39
1
0
03 Aug 2022
Homomorphism Autoencoder -- Learning Group Structured Representations
  from Observed Transitions
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions
Hamza Keurti
Hsiao-Ru Pan
M. Besserve
Benjamin Grewe
Bernhard Schölkopf
AI4CE
27
13
0
25 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable?
When are Post-hoc Conceptual Explanations Identifiable?
Tobias Leemann
Michael Kirchhof
Yao Rong
Enkelejda Kasneci
Gjergji Kasneci
50
10
0
28 Jun 2022
Transformation Coding: Simple Objectives for Equivariant Representations
Transformation Coding: Simple Objectives for Equivariant Representations
Mehran Shakerinava
A. Mondal
Siamak Ravanbakhsh
OffRL
14
0
0
19 Feb 2022
Commutative Lie Group VAE for Disentanglement Learning
Commutative Lie Group VAE for Disentanglement Learning
Xinqi Zhu
Chang Xu
Dacheng Tao
CoGe
DRL
29
22
0
07 Jun 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
Quantifying and Learning Linear Symmetry-Based Disentanglement
Quantifying and Learning Linear Symmetry-Based Disentanglement
Loek Tonnaer
L. Rey
Vlado Menkovski
Mike Holenderski
J. Portegies
FedML
CoGe
DRL
11
13
0
11 Nov 2020
1