Barbara Rakitsch
9 papers · 2013–2023 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
π
Academic Marathon
(10)
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(5)
π
Trend Setter
Conferences
NIPS (4)
AISTATS (2)
AAAI (1)
L4DC (1)
UAI (1)
Top co-authors
Keywords
gaussian process
(5)
bayesian inference
(3)
variational inference
(3)
time series
(3)
uncertainty quantification
(2)
state-space model
(2)
dynamical system
(2)
stochastic differential equation
(2)
epistemic uncertainty
(1)
probabilistic modeling
(1)
laplace approximation
(1)
multi-task gaussian process
(1)
message passing
(1)
parameter inference
(1)
marginal likelihood
(1)
kronecker product
(1)
bayesian regression
(1)
signal processing
(1)
multi-output regression
(1)
sparse approximation
(1)
Papers
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
AAAI 2023
Laplace approximated Gaussian process state-space models
UAI 2022
Learning interacting dynamical systems with latent Gaussian process ODEs
NIPS 2022
Safe Active Learning for Multi-Output Gaussian Processes
AISTATS 2022
Traversing Time with Multi-Resolution Gaussian Process State-Space Models
L4DC 2022
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
AISTATS 2021
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
NIPS 2020
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
NIPS 2018
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
NIPS 2013