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De-risking geological carbon storage from high resolution time-lapse
  seismic to explainable leakage detection

De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection

7 October 2022
Ziyi Yin
Huseyin Tuna Erdinc
A. Gahlot
M. Louboutin
Felix J. Herrmann
ArXiv (abs)PDFHTML

Papers citing "De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection"

9 / 9 papers shown
Title
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage
  Detection in Time-lapse Seismic Monitoring Images
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images
Huseyin Tuna Erdinc
A. Gahlot
Ziyi Yin
M. Louboutin
Felix J. Herrmann
26
4
0
16 Dec 2022
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaMLXAI
207
684
0
28 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
684
41,563
0
22 Oct 2020
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Helen Zhou
FAtt
100
1,072
0
03 Oct 2019
A Benchmark for Interpretability Methods in Deep Neural Networks
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker
D. Erhan
Pieter-Jan Kindermans
Been Kim
FAttUQCV
125
683
0
28 Jun 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
811
132,725
0
12 Jun 2017
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
256
9,342
0
14 Dec 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
238
8,363
0
06 Nov 2014
The Linearized Bregman Method via Split Feasibility Problems: Analysis
  and Generalizations
The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations
D. Lorenz
F. Schöpfer
S. Wenger
49
100
0
09 Sep 2013
1