Joel Zylberberg
Scholar

Joel Zylberberg

Google Scholar ID: xGNBRzMAAAAJ
UCLA and CIFAR
Computational NeuroscienceVisionMachine LearningArtificial Intelligence
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Citations & Impact
All-time
Citations
2,362
 
H-index
18
 
i10-index
26
 
Publications
20
 
Co-authors
46
list available
Publications
3 items
Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning
2026
Cited
0
Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces
2026
Cited
0
Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
2025
Cited
0
Resume
Academic Achievements
  • Provides SAILnet codes and Retina Model codes resources.
Research Experience
  • Leads the jZ Lab, which is dedicated to research in neuroscience and machine learning.
Background
  • Research interests lie at the intersection of neuroscience and machine learning, focusing on improving machine learning algorithms through studying eyes and brains, as well as using machine learning to better understand eye and brain functions.
Co-authors
5 total
Michael R DeWeese
Michael R DeWeese
Professor of Physics and Neuroscience, University of California at Berkeley
Alona Fyshe
Alona Fyshe
Associate Professor, Dept. of Computing Science & Dept. of Psychology, University of Alberta
Timothy P. Lillicrap
Timothy P. Lillicrap
Director of Research, Google DeepMind
Yoshua Bengio
Yoshua Bengio
Professor of computer science, University of Montreal, Mila, IVADO, CIFAR
Blake Richards
Blake Richards
Mila + McGill University