Christian K. Machens
11 papers · 2010–2024 · 2 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Half
π
Keyword Champion
(2)
π
Trend Setter
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(82)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(9)
Interdisciplinary
(7)
Optimization & Theory
(7)
Science
(7)
Artificial Intelligence
(6)
Deep Learning
(5)
Core AI
(5)
Architectures
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Cognitive Science
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
neural population
(3)
spiking neural network
(3)
population coding
(2)
neural network
(2)
dimensionality reduction
(2)
unsupervised learning
(2)
short-term memory
(2)
spiking networks
(2)
recurrent neural network
(2)
firing rate
(2)
principal component analysis
(1)
model-based learning
(1)
expectation maximization
(1)
markov decision process
(1)
feature extraction
(1)
wishart distribution
(1)
spike-timing-dependent plasticity
(1)
neural computation
(1)
convex optimization
(1)
canonical correlation analysis
(1)
Papers
Learning interpretable control inputs and dynamics underlying animal locomotion
ICLR 2024
Uncovering motifs of concurrent signaling across multiple neuronal populations
NeurIPS 2023
Biological credit assignment through dynamic inversion of feedforward networks
NeurIPS 2020
Compact task representations as a normative model for higher-order brain activity
NeurIPS 2020
Understanding spiking networks through convex optimization
NeurIPS 2020
Extracting Latent Structure From Multiple Interacting Neural Populations
NeurIPS 2014
Unsupervised learning of an efficient short-term memory network
NeurIPS 2014
Firing rate predictions in optimal balanced networks
NeurIPS 2013
Learning optimal spike-based representations
NeurIPS 2012
Demixed Principal Component Analysis
NeurIPS 2011
Linear readout from a neural population with partial correlation data
NeurIPS 2010