Martin Jørgensen
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(13)
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Hot Topic Early Bird
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Research topics
Keywords
variational inference
(4)
gaussian process
(3)
active learning
(2)
metric learning
(2)
kernel methods
(2)
data augmentation
(2)
neural network
(2)
invariance learning
(1)
manifold learning
(1)
image classification
(1)
model calibration
(1)
marginal likelihood
(1)
riemannian geometry
(1)
uncertainty quantification
(1)
bayesian optimization
(1)
image retrieval
(1)
variance estimation
(1)
batch selection
(1)
bayesian model selection
(1)
bayesian inference
(1)
Papers
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
AISTATS 2024
Bezier Gaussian Processes for Tall and Wide Data
NeurIPS 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
NeurIPS 2022
Last Layer Marginal Likelihood for Invariance Learning
AISTATS 2022
Probabilistic spatial transformer networks
UAI 2022
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
ICCV 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
ICML 2021
Stochastic Differential Equations with Variational Wishart Diffusions
ICML 2020
Reliable training and estimation of variance networks
NeurIPS 2019