◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. Kashefi

9 papers hereh-index 14972 citations50 works total

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

author position
  • sole author4
  • first author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph4
  • cs.LG3
  • eess.IV1
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedPoint-Cloud Deep Learning of Porous Media for Permeability Prediction

47 citations · 55 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2023★ 8 cited

ChatGPT for Programming Numerical Methods

Ali Kashefi, Tapan Mukerji

ChatGPT is a large language model recently released by the OpenAI company. In this technical report, we explore for the first time the capability of ChatGPT for programming numeric…

cs.LG2023

Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity

Ali Kashefi, Leonidas J. Guibas, Tapan Mukerji

Regular physics-informed neural networks (PINNs) predict the solution of partial differential equations using sparse labeled data but only over a single domain. On the other hand,…

cs.LG2020

A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries

Ali Kashefi, Davis Rempe, Leonidas J. Guibas

We present a novel deep learning framework for flow field predictions in irregular domains when the solution is a function of the geometry of either the domain or objects inside th…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.