Daniel D Lee
6 papers · 2012–2020 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Core Methods
(4)
Interdisciplinary
(3)
Mathematics & Optimization
(3)
Cognitive Science
(3)
Mathematics
(2)
Optimization
(2)
Science
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Keywords
tuning curve
(2)
neural coding
(2)
stimulus distribution
(2)
optimal coding
(2)
mutual information
(2)
ising model
(1)
population coding
(1)
3d reconstruction
(1)
kernel regression
(1)
cramer-rao bound
(1)
neural population codes
(1)
reconstruction error
(1)
neural population coding
(1)
neural population
(1)
mean-field approximation
(1)
neural tuning curves
(1)
optimal encoding
(1)
fisher information
(1)
metric learning
(1)
dimensionality reduction
(1)
Papers
Higher-Order Function Networks for Learning Composable 3D Object Representations
ICLR 2020
Generative Local Metric Learning for Kernel Regression
NeurIPS 2017
Efficient Neural Codes under Metabolic Constraints
NeurIPS 2016
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
NeurIPS 2016
Optimal Neural Population Codes for High-dimensional Stimulus Variables
NeurIPS 2013
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss
NeurIPS 2012