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2205.00756
Cited By
VICE: Variational Interpretable Concept Embeddings
2 May 2022
Lukas Muttenthaler
C. Zheng
Patrick McClure
Robert A. Vandermeulen
M. Hebart
Francisco Câmara Pereira
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Papers citing
"VICE: Variational Interpretable Concept Embeddings"
10 / 10 papers shown
Title
Dimensions underlying the representational alignment of deep neural networks with humans
F. Mahner
Lukas Muttenthaler
Umut Güçlü
M. Hebart
48
4
0
28 Jan 2025
Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
Teresa Dorszewski
Lenka Tětková
Lorenz Linhardt
Lars Kai Hansen
HAI
36
0
0
10 Sep 2024
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations
Chen Wei
Jiachen Zou
Dietmar Heinke
Quanying Liu
48
3
0
25 Apr 2024
An Analysis of Human Alignment of Latent Diffusion Models
Lorenz Linhardt
Marco Morik
Sidney Bender
Naima Elosegui Borras
DiffM
36
3
0
13 Mar 2024
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
...
Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas L. Griffiths
61
74
0
18 Oct 2023
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler
Robert A. Vandermeulen
Qiuyi Zhang
Thomas Unterthiner
Klaus-Robert Muller
34
2
0
05 Jul 2023
Improving neural network representations using human similarity judgments
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
40
29
0
07 Jun 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
26
7
0
12 Apr 2023
When are Post-hoc Conceptual Explanations Identifiable?
Tobias Leemann
Michael Kirchhof
Yao Rong
Enkelejda Kasneci
Gjergji Kasneci
50
10
0
28 Jun 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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