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Gabriel Kreiman

Harvard Medical School

22 papers hereh-index 4416.7k citations218 works total

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

author position
  • middle author7
  • last author13

Across the 20 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • q-bio.NC8
  • cs.LG5
affiliations
  • Harvard Medical School
Homepage

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedDeep Predictive Coding Networks for Video Prediction and Unsupervised Learning

412 citations · 919 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

q-bio.NC2020★ 3 cited

Fooling the primate brain with minimal, targeted image manipulation

Li Yuan, Will Xiao, Giorgia Dellaferrera +4

Artificial neural networks (ANNs) are considered the current best models of biological vision. ANNs are the best predictors of neural activity in the ventral stream; moreover, rece…

q-bio.NC2020

Simple Learning Rules Generate Complex Canonical Circuits

Joseph Olson, Gabriel Kreiman

Cortical circuits are characterized by exquisitely complex connectivity patterns that emerge during development from undifferentiated networks. The development of these circuits is…

cs.CV2020

What am I Searching for: Zero-shot Target Identity Inference in Visual Search

Mengmi Zhang, Gabriel Kreiman

Can we infer intentions from a person's actions? As an example problem, here we consider how to decipher what a person is searching for by decoding their eye movement behavior. We…

cs.CV2020

Can Deep Learning Recognize Subtle Human Activities?

Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman

Deep Learning has driven recent and exciting progress in computer vision, instilling the belief that these algorithms could solve any visual task. Yet, datasets commonly used to tr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.