8 citations · 8 across the 2 of their papers we have counts for
3 papers
physics.geo-ph2020
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements
M. Shahriari, D. Pardo, J. A. Rivera +5
Deep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational…
cs.LG2019★ 8 cited
Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding
Alfonso Medela, Artzai Picon
Metric learning has become an attractive field for research on the latest years. Loss functions like contrastive loss, triplet loss or multi-class N-pair loss have made possible ge…
cs.LG2018
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements
M. Shahriari, D. Pardo, A. Picón +3
We use borehole resistivity measurements to map the electrical properties of the subsurface and to increase the productivity of a reservoir. When used for geosteering purposes, it…