Lopez Alvis, J. (2021). Dimensionality reduction for geophysical inversion in highly structured subsurface environments [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/255144 |
Lopez Alvis, J., Laloy, E., Hermans, T., & Nguyen, F. (May 2020). Constraining gradient-based inversion with a variational autoencoder to reproduce geological patterns [Paper presentation]. EGU General Assembly 2020. doi:10.5194/egusphere-egu2020-19576 |
Lopez Alvis, J., Laloy, E., Hermans, T., & Nguyen, F. (2020). Estimation of spatially-structured subsurface parameters using variational autoencoders and gradient-based optimization [Paper presentation]. 10th International Congress on Environmental Modelling and Software. |
Lopez Alvis, J., Laloy, E., Hermans, T., & Nguyen, F. (December 2019). Efficient Deterministic Inversion of Geophysical Data Constrained by Deep Generative Models to Estimate Subsurface Parameters with Defined Spatial Patterns [Paper presentation]. AGU Fall Meeting 2019. |
Lopez Alvis, J., Hermans, T., & Nguyen, F. (November 2019). A cross-validation framework to extract data features for reducing structural uncertainty in subsurface heterogeneity. Advances in Water Resources, 133. doi:10.1016/j.advwatres.2019.103427 Peer Reviewed verified by ORBi |
Nguyen, F., Lopez Alvis, J., & Hermans, T. (December 2018). Updating structural uncertainty through dimension reduction of geophysical data [Paper presentation]. AGU Fall Meeting 2018. |
Lopez Alvis, J., Nguyen, F., & Hermans, T. (June 2018). Updating prior geologic uncertainty with GPR traveltime tomographic data [Paper presentation]. Computational Methods in Water Resources XXII. |