Lars Kai Hansen
7 papers · 2006–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Full 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Conference Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Core Methods
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Models
(2)
Optimization
(2)
Artificial Intelligence
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
generative model
(2)
gaussian process
(2)
bayesian learning
(1)
blind source separation
(1)
principal component analysis
(1)
bayesian inference
(1)
structure learning
(1)
kernel principal component analysis
(1)
self-supervised learning
(1)
expectation maximization
(1)
maximum likelihood
(1)
expectation propagation
(1)
spike-and-slab prior
(1)
signal-to-noise ratio
(1)
stochastic process
(1)
biomarker discovery
(1)
riemannian metric
(1)
probabilistic model
(1)
state space model
(1)
phase transition
(1)
Papers
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
ICLR 2024
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
ICML 2019
Bayesian Structure Learning for Dynamic Brain Connectivity
AISTATS 2018
Latent Space Oddity: on the Curvature of Deep Generative Models
ICLR 2018
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors
JMLR 2017
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis
JMLR 2011
Linear State-Space Models for Blind Source Separation
JMLR 2006