Concepedia

Javier Sagastuy-Breña

JS

6

Publications

115

Citations

6

H-Index

2020

Active since

Affiliations

Stanford University(Current)

Javier Sagastuy-Breña is an author at Stanford University specializing in deep learning, engineering, and machine vision.

Top concepts

EngineeringDeep LearningData ScienceNeuroscienceMachine VisionRobot LearningSocial SciencesComputer ScienceMachine LearningComputational Neuroscience

Publications per year

2020–2022

6

Publications

6

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Tradeoff Between Task Performance and Network Size During Core Object Recognition

Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear et al. · 2021 · 34 citations · Full text

Convolutional Neural Network, Engineering, Object Categorization +20

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition

Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear et al. · Neural Computation · 2022 · 26 citations · Full text

Two Routes to Scalable Credit Assignment without Weight Symmetry

Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña et al. · arXiv (Cornell University) · 2020 · 16 citations · Full text

Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics

Daniel Kunin, Javier Sagastuy-Breña, Surya Ganguli et al. · arXiv (Cornell University) · 2020 · 14 citations · Full text

Artificial Intelligence, Geometric Learning, Engineering +20

Two Routes to Scalable Credit Assignment without Weight Symmetry

Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña et al. · International Conference on Machine Learning · 2020 · 13 citations

Mathematical Programming, Convolutional Neural Network, Engineering +21

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