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1910.10046
Cited By
Uncertainty Quantification with Generative Models
22 October 2019
Vanessa Böhm
F. Lanusse
U. Seljak
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Papers citing
"Uncertainty Quantification with Generative Models"
6 / 6 papers shown
Title
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
Marion Neumeier
Sebastian Dorn
M. Botsch
Wolfgang Utschick
DiffM
43
3
0
23 May 2024
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
19
11
0
02 Jul 2022
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
Paz Fink Shustin
Shashanka Ubaru
Vasileios Kalantzis
L. Horesh
H. Avron
21
2
0
10 Feb 2022
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability
Dominik Seuss
17
15
0
25 May 2021
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
Zaccharie Ramzi
B. Remy
F. Lanusse
Jean-Luc Starck
P. Ciuciu
UQCV
MedIm
30
14
0
16 Nov 2020
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
16
32
0
09 Jun 2020
1