Hannes Nickisch
13 papers · 2008–2019 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird
π
Conference Polyglot
(5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
ποΈ
Keyword Collector
(57)
π
Trend Setter
π
Century Club
(13)
π₯
Unstoppable
(5)
π
Conference Pioneer
Conferences
JMLR (4)
ICML (3)
NIPS (3)
AISTATS (2)
MIDL (1)
Top co-authors
Keywords
gaussian process
(8)
expectation propagation
(5)
variational inference
(5)
kernel learning
(4)
bayesian inference
(3)
laplace approximation
(2)
approximate inference
(2)
change point detection
(2)
gaussian processes
(2)
binary classification
(1)
image segmentation
(1)
regression
(1)
spatio-temporal modeling
(1)
approximate bayesian inference
(1)
medical imaging
(1)
sequence optimization
(1)
magnetic resonance imaging
(1)
bayesian experimental design
(1)
model selection
(1)
time series analysis
(1)
Papers
Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs
MIDL 2019
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
JMLR 2019
State Space Gaussian Processes with Non-Gaussian Likelihood
ICML 2018
Scalable Log Determinants for Gaussian Process Kernel Learning
NIPS 2017
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces
AISTATS 2016
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
ICML 2015
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
ICML 2015
glm-ie: Generalised Linear Models Inference & Estimation Toolbox
JMLR 2012
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
AISTATS 2011
Additive Gaussian Processes
NIPS 2011
Gaussian Processes for Machine Learning (GPML) Toolbox
JMLR 2010
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
NIPS 2008
Approximations for Binary Gaussian Process Classification
JMLR 2008