| Error control and loss functions for the deep learning inversion of borehole resistivity measurements M Shahriari, D Pardo, JA Rivera, C Torres‐Verdín, A Picon, J Del Ser, ... International Journal for Numerical Methods in Engineering 122 (6), 1629-1657, 2021 | 46 | 2021 |
| On quadrature rules for solving partial differential equations using neural networks JA Rivera, JM Taylor, ÁJ Omella, D Pardo Computer Methods in Applied Mechanics and Engineering 393, 114710, 2022 | 34 | 2022 |
| Massive database generation for 2.5 D borehole electromagnetic measurements using refined isogeometric analysis A Hashemian, D Garcia, JA Rivera, D Pardo Computers & Geosciences 155, 104808, 2021 | 5 | 2021 |
| Design of loss functions for solving inverse problems using deep learning JA Rivera, D Pardo, E Alberdi Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 5 | 2020 |
| Neural Network Power Flow Approach to Detect Overload and Voltage Anomalies in Low-Voltage Unbalanced Networks, Agnostic of Network Topology A González-Garrido, JA Rivera, JF Zaballa, JE Rodríguez-Seco, E Perea 2024 20th International Conference on the European Energy Market (EEM), 1-6, 2024 | | 2024 |
| Deep Learning for Inverting Borehole Resistivity Measurements JA Rivera | | 2022 |
| Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning JA Rivera, D Pardo, J Omella, C Torres-Verdín 3rd EAGE/SPE Geosteering Workshop 2021 (1), 1-5, 2021 | | 2021 |
| Geosteering using Deep Learning M Shahriari, D Pardo, JA Rivera | | |
