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2007.07985
Cited By
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows
15 July 2020
Ali Siahkoohi
G. Rizzuti
Philipp A. Witte
Felix J. Herrmann
AI4CE
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Papers citing
"Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows"
7 / 7 papers shown
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
289
1
0
19 Feb 2024
Globally injective and bijective neural operators
Neural Information Processing Systems (NeurIPS), 2023
Takashi Furuya
Michael Puthawala
Matti Lassas
Maarten V. de Hoop
283
14
0
06 Jun 2023
Deep Variational Inverse Scattering
European Conference on Antennas and Propagation (EuCAP), 2022
AmirEhsan Khorashadizadeh
A. Aghababaei
Tin Vlavsić
Hieu Nguyen
Ivan Dokmanić
BDL
UQCV
181
5
0
08 Dec 2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds
Michael Puthawala
Matti Lassas
Ivan Dokmanić
Pekka Pankka
Maarten V. de Hoop
MedIm
257
0
0
02 Oct 2022
Deep Bayesian inference for seismic imaging with tasks
Ali Siahkoohi
G. Rizzuti
Felix J. Herrmann
BDL
UQCV
444
29
0
10 Oct 2021
Learning by example: fast reliability-aware seismic imaging with normalizing flows
Ali Siahkoohi
Felix J. Herrmann
OOD
357
13
0
13 Apr 2021
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi
G. Rizzuti
M. Louboutin
Philipp A. Witte
Felix J. Herrmann
295
32
0
11 Jan 2021
1
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