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Disentangling Factors of Variation via Generative Entangling

Disentangling Factors of Variation via Generative Entangling

19 October 2012
Guillaume Desjardins
Aaron Courville
Yoshua Bengio
    CoGe
    CML
    DRL
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Papers citing "Disentangling Factors of Variation via Generative Entangling"

5 / 5 papers shown
Title
Causal Deep Learning
Causal Deep Learning
M. Alex O. Vasilescu
CML
106
2
1
03 Jan 2025
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks
Can Rager
Eric J. Michaud
Yonatan Belinkov
David Bau
Aaron Mueller
111
146
0
28 Mar 2024
Disentanglement Learning via Topology
Disentanglement Learning via Topology
Nikita Balabin
Daria Voronkova
I. Trofimov
Evgeny Burnaev
S. Barannikov
DRL
97
2
0
24 Aug 2023
Disentangled Representations in Neural Models
Disentangled Representations in Neural Models
William F. Whitney
OOD
OCL
DRL
97
18
0
07 Feb 2016
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
216
325
0
12 Sep 2011
1