Julie Grollier
Scholar

Julie Grollier

Google Scholar ID: eAgYj1IAAAAJ
CNRS/Thales Lab
spintronicsnanodevicesmemristorsneuromorphic computing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
13,838
 
H-index
48
 
i10-index
120
 
Publications
20
 
Co-authors
0
 
Publications
5 items
Fast simulation of nonlinear deep resistive networks for energy-based computation
2026
Cited
0
Training and synchronizing oscillator networks with Equilibrium Propagation
2025
Cited
0
Convolutions with Radio-Frequency Spin-Diodes
2025
Cited
0
Self-Contrastive Forward-Forward Algorithm
arXiv.org · 2024
Cited
2
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification
arXiv.org · 2024
Cited
0
Resume
Academic Achievements
  • Published multiple papers in top conferences such as CVPR, ICCV; received ACM SIGGRAPH Best Student Paper Award; holds two US patents.
Research Experience
  • Researcher at UC Berkeley AI Lab, 2018-Present
  • Assistant Researcher at Stanford Visual Computing Lab, 2016-2018
Education
  • PhD in Computer Science, University of California, Berkeley, Advisor: Prof. Alexei Efros, 2018-2022
  • M.S. in Electrical Engineering, Stanford University, 2016-2018
Background
  • Focused on computer vision and machine learning; dedicated to developing new algorithms that can understand the content of images and videos.
Miscellany
  • Enjoys photography and traveling; passionate about exploring new technologies and their impact on society.