Concepedia

Daniel Kunin

DK

6

Publications

152

Citations

6

H-Index

2019

Active since

Affiliations

Stanford University(Current)

Broad Institute

Daniel Kunin is an author at Stanford University specializing in engineering, deep learning, and computer science.

Top concepts

EngineeringDeep LearningComputer ScienceMachine LearningData ScienceRobot LearningDeep Neural NetworksComputational NeuroscienceDynamicsNeuroscience

Publications per year

2019–2020

6

Publications

6

Pruning neural networks without any data by iteratively conserving synaptic flow

Hidenori Tanaka, Daniel Kunin, Daniel Yamins et al. · arXiv (Cornell University) · 2020 · 75 citations · Full text

Engineering, Machine Learning, Pruning Cycles +16

Loss Landscapes of Regularized Linear Autoencoders

Daniel Kunin, Jonathan M. Bloom, Aleksandrina Goeva et al. · arXiv (Cornell University) · 2019 · 22 citations · Full text

Engineering, Machine Learning, Manifold Learning +12

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

Rows per page

1–5 of 6