Martin Jørgensen
Title
Cited by
Cited by
Year
Reliable training and estimation of variance networks
N Skafte, M Jørgensen, S Hauberg
Advances in Neural Information Processing Systems 32, 6326-6336, 2019
28*2019
Stochastic Differential Equations with Variational Wishart Diffusions
M Jørgensen, M Deisenroth, H Salimbeni
International Conference on Machine Learning, 4974-4983, 2020
42020
Bayesian triplet loss: Uncertainty quantification in image retrieval
F Warburg, M Jørgensen, J Civera, S Hauberg
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
Isometric gaussian process latent variable model for dissimilarity data
M Jørgensen, S Hauberg
International Conference on Machine Learning, 5127-5136, 2021
22021
Probabilistic spatial transformers for Bayesian data augmentation
P Schwöbel, F Warburg, M Jørgensen, KH Madsen, S Hauberg
arXiv preprint arXiv:2004.03637, 2020
22020
Reparametrization Invariance in non-parametric Causal Discovery
M Jørgensen, S Hauberg
arXiv preprint arXiv:2008.05552, 2020
12020
Stochastic Representations with Gaussian Processes and Geometry
M Jørgensen
PhD Thesis, 2020
12020
Last Layer Marginal Likelihood for Invariance Learning
PE Schwöbel, M Jørgensen, SW Ober, M van der Wilk
arXiv preprint arXiv:2106.07512, 2021
2021
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Articles 1–8