Daniel D Lee
6 papers · 2012–2020 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (8) π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(20)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Trend Setter
Conferences
NIPS (5)
ICLR (1)
Top co-authors
Keywords
tuning curve
(2)
neural coding
(2)
optimal coding
(2)
mutual information
(2)
stimulus distribution
(2)
mean-field approximation
(1)
kernel regression
(1)
reconstruction error
(1)
neural population coding
(1)
neural population
(1)
optimal encoding
(1)
neural tuning curves
(1)
cramer-rao bound
(1)
high-dimensional stimulus
(1)
sensory information
(1)
influence maximization
(1)
social network
(1)
gaussian distribution
(1)
mean square error
(1)
histogram equalization
(1)
Papers
Higher-Order Function Networks for Learning Composable 3D Object Representations
ICLR 2020
Generative Local Metric Learning for Kernel Regression
NIPS 2017
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
NIPS 2016
Efficient Neural Codes under Metabolic Constraints
NIPS 2016
Optimal Neural Population Codes for High-dimensional Stimulus Variables
NIPS 2013
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss
NIPS 2012