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Efficient deterministic inversion of geophysical data constrained by deep generative models to estimate subsurface parameters with defined spatial patterns

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MLA
Lopez Alvis, Jorge, et al. “Efficient Deterministic Inversion of Geophysical Data Constrained by Deep Generative Models to Estimate Subsurface Parameters with Defined Spatial Patterns.” AGU Fall Meeting, Abstracts, 2019.
APA
Lopez Alvis, J., Laloy, E., Hermans, T., & Nguyen, F. (2019). Efficient deterministic inversion of geophysical data constrained by deep generative models to estimate subsurface parameters with defined spatial patterns. In AGU fall meeting, Abstracts. San Francisco, CA, USA.
Chicago author-date
Lopez Alvis, Jorge, Eric Laloy, Thomas Hermans, and Frédéric Nguyen. 2019. “Efficient Deterministic Inversion of Geophysical Data Constrained by Deep Generative Models to Estimate Subsurface Parameters with Defined Spatial Patterns.” In AGU Fall Meeting, Abstracts.
Chicago author-date (all authors)
Lopez Alvis, Jorge, Eric Laloy, Thomas Hermans, and Frédéric Nguyen. 2019. “Efficient Deterministic Inversion of Geophysical Data Constrained by Deep Generative Models to Estimate Subsurface Parameters with Defined Spatial Patterns.” In AGU Fall Meeting, Abstracts.
Vancouver
1.
Lopez Alvis J, Laloy E, Hermans T, Nguyen F. Efficient deterministic inversion of geophysical data constrained by deep generative models to estimate subsurface parameters with defined spatial patterns. In: AGU fall meeting, Abstracts. 2019.
IEEE
[1]
J. Lopez Alvis, E. Laloy, T. Hermans, and F. Nguyen, “Efficient deterministic inversion of geophysical data constrained by deep generative models to estimate subsurface parameters with defined spatial patterns,” in AGU fall meeting, Abstracts, San Francisco, CA, USA, 2019.
@inproceedings{8639736,
  author       = {Lopez Alvis, Jorge and Laloy, Eric and Hermans, Thomas and Nguyen, Frédéric},
  booktitle    = {AGU fall meeting, Abstracts},
  language     = {eng},
  location     = {San Francisco, CA, USA},
  title        = {Efficient deterministic inversion of geophysical data constrained by deep generative models to estimate subsurface parameters with defined spatial patterns},
  year         = {2019},
}