Eric Shea-Brown
6 papers · 2016–2023 · 1 venue · across top CS/AI venues
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Achievements
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(18)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Architectures
(5)
Optimization & Theory · Machine Learning
(5)
Interdisciplinary
(4)
Core Methods
(4)
Learning Types
(3)
Science
(3)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Cognitive Science
(1)
Core AI
(1)
Keywords
recurrent neural network
(3)
credit assignment
(2)
gradient descent
(2)
brain connectivity
(1)
loss landscape
(1)
hierarchical representation
(1)
brain imaging
(1)
singular value decomposition
(1)
matrix completion
(1)
biological plausibility
(1)
score matching
(1)
neural representation
(1)
biologically plausible learning
(1)
probabilistic sampling
(1)
convolutional neural network
(1)
learning dynamics
(1)
stochastic differential equation
(1)
langevin sampling
(1)
backpropagation through time
(1)
deep linear network
(1)
Papers
Expressive probabilistic sampling in recurrent neural networks
NeurIPS 2023
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
NeurIPS 2022
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
NeurIPS 2022
Learning dynamics of deep linear networks with multiple pathways
NeurIPS 2022
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex
NeurIPS 2019
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
NeurIPS 2016