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researcher

Eric F. Darve

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • physics.geo-ph1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedApplication of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

physics.geo-ph2021★ 1 cited

Autonomous Inversion of In Situ Deformation Measurement Data for CO2 Storage Decision Support

Jeff Burghardt, Ting Bao, Kailai Xu +2

Current methods of estimating the change in stress caused by injecting fluid into subsurface formations require choosing the type of constitutive model and the model parameters bas…

cs.LG2020

Application of deep learning to large scale riverine flow velocity estimation

Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4

Fast and reliable prediction of riverine flow velocities is important in many applications, including flood risk management. The shallow water equations (SWEs) are commonly used fo…

stat.ML2020★ 2 cited

Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee +4

Nearshore bathymetry, the topography of the ocean floor in coastal zones, is vital for predicting the surf zone hydrodynamics and for route planning to avoid subsurface features. H…

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