Skip Nav Destination
Close Modal
RESULTS FOR
Wasserstein loss function
Update search
Filter
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
Filter
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
Filter
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
Filter
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
Filter
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
Filter
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
NARROW
Format
Article Type
Journal
Publisher
Section
GeoRef Subject
-
all geography including DSDP/ODP Sites and Legs
-
Africa
-
Congo Craton (1)
-
Southern Africa (1)
-
-
Arctic Ocean
-
Barents Sea (1)
-
Norwegian Sea (1)
-
-
Asia
-
Far East
-
China
-
Bohaiwan Basin (1)
-
Xinjiang China
-
Tarim Basin (1)
-
-
-
Japan (2)
-
-
-
Atlantic Ocean
-
North Atlantic
-
Gulf of Mexico (2)
-
North Sea
-
Valhall Field (1)
-
-
-
-
Australasia
-
New Zealand (2)
-
-
Canada (1)
-
Central America
-
Costa Rica (1)
-
-
Europe
-
Southern Europe
-
Italy (1)
-
-
Western Europe
-
Netherlands
-
Groningen Netherlands (1)
-
-
Scandinavia
-
Norway (1)
-
-
United Kingdom
-
Great Britain
-
England (1)
-
-
-
-
-
North Island (1)
-
Pacific Ocean
-
North Pacific
-
Northwest Pacific
-
East China Sea (1)
-
-
-
West Pacific
-
Northwest Pacific
-
East China Sea (1)
-
-
-
-
Taranaki Basin (1)
-
United States
-
California
-
Los Angeles County California (1)
-
-
-
-
commodities
-
oil and gas fields (1)
-
petroleum (5)
-
-
elements, isotopes
-
isotope ratios (1)
-
isotopes
-
radioactive isotopes
-
Ar-40/Ar-39 (1)
-
-
stable isotopes
-
Ar-40/Ar-39 (1)
-
-
-
noble gases
-
argon
-
Ar-40/Ar-39 (1)
-
-
-
-
geochronology methods
-
Ar/Ar (1)
-
-
geologic age
-
Cenozoic
-
Tertiary
-
Neogene
-
Miocene
-
middle Miocene (1)
-
-
-
-
-
Paleozoic
-
Permian
-
Rotliegendes (1)
-
Upper Permian
-
Zechstein (1)
-
-
-
-
-
igneous rocks
-
igneous rocks
-
plutonic rocks (1)
-
-
-
metamorphic rocks
-
metamorphic rocks (1)
-
-
Primary terms
-
absolute age (1)
-
Africa
-
Congo Craton (1)
-
Southern Africa (1)
-
-
Arctic Ocean
-
Barents Sea (1)
-
Norwegian Sea (1)
-
-
Asia
-
Far East
-
China
-
Bohaiwan Basin (1)
-
Xinjiang China
-
Tarim Basin (1)
-
-
-
Japan (2)
-
-
-
Atlantic Ocean
-
North Atlantic
-
Gulf of Mexico (2)
-
North Sea
-
Valhall Field (1)
-
-
-
-
Australasia
-
New Zealand (2)
-
-
Canada (1)
-
Cenozoic
-
Tertiary
-
Neogene
-
Miocene
-
middle Miocene (1)
-
-
-
-
-
Central America
-
Costa Rica (1)
-
-
chemical analysis (1)
-
crust (1)
-
data processing (34)
-
deformation (1)
-
earthquakes (11)
-
engineering geology (1)
-
Europe
-
Southern Europe
-
Italy (1)
-
-
Western Europe
-
Netherlands
-
Groningen Netherlands (1)
-
-
Scandinavia
-
Norway (1)
-
-
United Kingdom
-
Great Britain
-
England (1)
-
-
-
-
-
faults (6)
-
geology (1)
-
geophysical methods (43)
-
igneous rocks
-
plutonic rocks (1)
-
-
isotopes
-
radioactive isotopes
-
Ar-40/Ar-39 (1)
-
-
stable isotopes
-
Ar-40/Ar-39 (1)
-
-
-
mantle (2)
-
metamorphic rocks (1)
-
noble gases
-
argon
-
Ar-40/Ar-39 (1)
-
-
-
oil and gas fields (1)
-
Pacific Ocean
-
North Pacific
-
Northwest Pacific
-
East China Sea (1)
-
-
-
West Pacific
-
Northwest Pacific
-
East China Sea (1)
-
-
-
-
Paleozoic
-
Permian
-
Rotliegendes (1)
-
Upper Permian
-
Zechstein (1)
-
-
-
-
petroleum (5)
-
sedimentary structures
-
soft sediment deformation (1)
-
-
sedimentation (1)
-
spectroscopy (1)
-
underground installations (1)
-
United States
-
California
-
Los Angeles County California (1)
-
-
-
-
sedimentary structures
-
channels (2)
-
sedimentary structures
-
soft sediment deformation (1)
-
-
GeoRef Categories
Era and Period
Epoch and Age
Date
Availability
1-20 OF 75 RESULTS FOR
Wasserstein loss function
Results shown limited to content with bounding coordinates.
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
1
Journal Article
Automated fault detection without seismic processing
Journal: The Leading Edge
Publisher: Society of Exploration Geophysicists
Published: 01 March 2017
The Leading Edge (2017) 36 (3): 208–214.
.... In this paper, we start by explaining the basics of the problem followed by discussions of DNNs and the Wasserstein loss function. Next, we introduce the general workflow used to train our DNN. After that, we discuss our performance results and some of our findings regarding network architectural parameters...
Journal Article
Dual Wasserstein generative adversarial network condition: A generative adversarial network-based acoustic impedance inversion method
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 22 September 2022
Geophysics (2022) 87 (6): R401–R411.
.... Cycle-GAN ( Wang et al., 2019b ) and Wasserstein Cycle-GAN (Wcycle-GAN) ( Cai et al., 2020 ) have the same neural network architecture. The former uses cross-entropy as the loss function and the latter uses Wasserstein distance as the loss function to achieve acoustic impedance inversion, respectively...
Journal Article
FWI-WF: Robust full-waveform inversion using hybrid Wasserstein-1 and Fourier metrics
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 21 October 2024
Geophysics (2024) 89 (6): F117–F128.
... to waveform inversion, and Villani (2003) proposes a convex mismatch function based on the Wasserstein-2 ( W 2 ) metric. The OT distance has some prerequisites such as equal mass and normalization. Thus, when comparing seismic data using the W 2 metric, data preprocessing must...
Includes: Supplemental Content
Journal Article
Application of optimal transport and the quadratic Wasserstein metric to full-waveform inversion
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 05 January 2018
Geophysics (2018) 83 (1): R43–R62.
.... The quadratic Wasserstein metric has proven to have many ideal properties with regard to convexity and insensitivity to noise. When the observed and predicted seismic data are considered to be two density functions, the quadratic Wasserstein metric corresponds to the optimal cost of rearranging one density...
Journal Article
The back-and-forth method for the quadratic Wasserstein distance-based full-waveform inversion
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 15 June 2023
Geophysics (2023) 88 (4): R469–R483.
...Hao Zhang; Weiguang He; Jianwei Ma ABSTRACT The conventional least-squares misfit function compares synthetic data to observed data in a point-by-point style. The Wasserstein distance function, also called the optimal transport function, matches patterns. The kinematic information of seismograms...
Journal Article
Optimal transport for mitigating cycle skipping in full-waveform inversion: A graph-space transform approach
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 05 September 2018
Geophysics (2018) 83 (5): R515–R540.
... on the accuracy of the initial model, they can still suffer from cycle skipping, and also from a loss of resolution. The design of adequate penalization functions might also be problematic, due to the high sensitivity of the resulting misfit function to this design ( Pladys et al., 2017 ). In this study, we...
Journal Article
Deep learning-driven velocity model building workflow
Journal: The Leading Edge
Publisher: Society of Exploration Geophysicists
Published: 01 November 2019
The Leading Edge (2019) 38 (11): 872a1–872a9.
... community. For example, similar loss functions, such as Wasserstein ( Yang et al., 2018 ; Sun and Alkhalifah, 2019 ), were first used in the DL community in Frogner et al. (2015) . They gained wide attention and were integrated in GAN architectures ( Gulrajani et al., 2017 ). The connection between...
Journal Article
Data‐Driven Synthesis of Broadband Earthquake Ground Motions Using Artificial Intelligence
Manuel A. Florez, Michaelangelo Caporale, Pakpoom Buabthong, Zachary E. Ross, Domniki Asimaki, Men‐Andrin Meier
Publisher: Seismological Society of America
Published: 22 April 2022
Bulletin of the Seismological Society of America (2022) 112 (4): 1979–1996.
... networks (GANs) to develop a new framework for synthesizing earthquake acceleration time histories. Our approach extends the Wasserstein GAN formulation to allow for the generation of ground motions conditioned on a set of continuous physical variables. Our model is trained to approximate the intrinsic...
Includes: Supplemental Content
Journal Article
Seismic compressive sensing by generative inpainting network: Toward an optimized acquisition survey
Journal: The Leading Edge
Publisher: Society of Exploration Geophysicists
Published: 01 December 2019
The Leading Edge (2019) 38 (12): 923–933.
... learned by the generator and the actual data distribution. The WGANs gradient penalty (WGANs-GP) loss function ( Gulrajani et al., 2017 ) uses gradient penalty to additionally clip the weights of the discriminator. It succesfully addresses common problems observed in general GANs, such as unstable...
Journal Article
Broadband Ground‐Motion Simulations with Machine‐Learning‐Based High‐Frequency Waves from Fourier Neural Operators
Publisher: Seismological Society of America
Published: 10 September 2024
Bulletin of the Seismological Society of America (2024) 114 (6): 2846–2868.
... the deterministic LF waveforms with stochastic HF waveforms to produce BB ground motions ( Kamae et al. , 1998 ; Hartzell et al. , 1999 ; Liu et al. , 2006 ; Graves and Pitarka, 2010 ; Mai et al. , 2010 ). Mai et al. (2010) presented an approach in which HF is computed by convolving source time function...
Includes: Supplemental Content
Journal Article
The application of an optimal transport to a preconditioned data matching function for robust waveform inversion
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 28 October 2019
Geophysics (2019) 84 (6): R923–R945.
... for designing misfit functions by measuring the distance between the matching filter and a representation of the Dirac delta function using optimal transport theory. We have used the Wasserstein W 2 distance, which provides us with the optimal transport between two probability distribution functions. Unlike...
Journal Article
Prestack seismic inversion for elastic parameters using model-data-driven generative adversarial networks
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 20 February 2023
Geophysics (2023) 88 (2): M87–M103.
... layer for the classification task and does fit the Wasserstein distance, which is a regression task; the sigmoid function is removed in the last layer, as is the log operator of the loss functions of G and D . The gradient penalty technique ( Gulrajani et al., 2017 ) is used to ensure stable...
Journal Article
This issue of Geophysics
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 05 January 2018
Geophysics (2018) 83 (1): 1JF–4JF.
... ABSTRACT In this article, the Editor of G eophysics provides an overview of all technical articles in this issue of the journal. Trace-by-trace comparison with the quadratic Wasserstein metric works remarkably well with the adjoint-state method as a misfit function in full-waveform inversion...
Journal Article
Fragility modeling practices and their implications on risk and resilience analysis: From the structure to the network scale
Journal: Earthquake Spectra
Publisher: Earthquake Engineering Research Institute
Published: 01 February 2024
Earthquake Spectra (2024) 40 (1): 647–673.
... are a precursor for subsequent loss analyses, repair and recovery modeling, and interdependent systems analyses. The common practice is to use fragility functions to predict systems’ performance while recognizing the influence of inherent sources of uncertainty. A fragility function is often defined...
Journal Article
TFCGAN: Nonstationary Ground‐Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods
Publisher: Seismological Society of America
Published: 08 December 2022
Bulletin of the Seismological Society of America (2023) 113 (1): 453–467.
...‐Wasserstein loss with gradient penalty (GP) using an Adam optimization method with parameters of β 1 = 0 and β 2 = 0.9 , and the learning rate of 0.0001 for generator and 0.0005 for discriminator networks. We fed the CGAN network using a batch size of 32. Discriminator and generator...
Includes: Supplemental Content
Journal Article
Machine-learning-driven semiauto multiscenario horizon interpretation with uncertainty quantification
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 03 February 2025
Geophysics (2025) IM47–IM58.
... ). This loss function is based on the assumption that for a highly accurate transformation between two domains, the original image x should be identical to the image obtained after applying forward and reverse transformations, i.e., G B A ( G A B ( x ) ) and vice versa. To guide...
Journal Article
Robust joint adaptive multiparameter waveform inversion with attenuation compensation in viscoacoustic media
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 22 March 2024
Geophysics (2024) 89 (3): R231–R246.
..., multiparameter (e.g. velocity and Q ) waveform inversion can be used to mitigate these problems. Benefiting from the theory of Q -compensated wavefield propagation, we develop a Q -compensated joint multiparameter waveform inversion method to weaken the nonlinearity of the FWI objective function, which enables...
Journal Article
A Methodology for Evaluating Component-Level Loss Predictions of the FEMA P-58 Seismic Performance Assessment Procedure
Journal: Earthquake Spectra
Publisher: Earthquake Engineering Research Institute
Published: 01 February 2019
Earthquake Spectra (2019) 35 (1): 193–210.
... (see online Appendix C for more information). The SP3 software tool is used to run FEMA P-58 analyses in both cases. As part of the development of the HAZUS methodology ( Whitman et al. 1997 , Kircher et al. 1997a , 1997b ), loss functions were calibrated by comparing predicted loss with observed...
Journal Article
Neural‐Network and Multivariate‐Normal‐Distribution Hybrid Method for Real‐Time Ground‐Shaking Reconstruction
Publisher: Seismological Society of America
Published: 20 September 2024
Bulletin of the Seismological Society of America (2024) 114 (6): 2912–2925.
... is to learn a conditional log‐normal distribution over the expected GMPE output: both the input and the output of the ConvCNP are expressed in terms of log( g ). The loss function used to train the model is a linear combination of Fréchet inception distance (FID; Dowson and Landau, 1982 ; Heusel et al...
Includes: Supplemental Content
Journal Article
Enhancing full-waveform inversion of field GPR data: A source-independent approach with dynamic reference selection via SE-Wave-U-Net
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 04 December 2024
Geophysics (2025) 90 (1): KS15–KS30.
... waveform inversion method based on the envelope objective function, which has been successfully applied to crosshole GPR data ( Liu et al., 2022 ). In addition, inspired by similarities between seismic and GPR surveys, methods based on optimal transmission distance and convolutional Wasserstein distance...
1