Следене
Martin Jørgensen
Заглавие
Позовавания
Позовавания
Година
Reliable training and estimation of variance networks
N Skafte, M Jørgensen, S Hauberg
Advances in Neural Information Processing Systems 32, 2019
93*2019
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
382021
Last layer marginal likelihood for invariance learning
P Schwöbel, M Jørgensen, SW Ober, M Van Der Wilk
International Conference on Artificial Intelligence and Statistics, 3542-3555, 2022
262022
Fast Bayesian inference with batch Bayesian quadrature via kernel recombination
M Adachi, S Hayakawa, M Jørgensen, H Oberhauser, MA Osborne
Advances in Neural Information Processing Systems 35, 16533-16547, 2022
172022
SOBER: Scalable batch Bayesian optimization and quadrature using recombination constraints
M Adachi, S Hayakawa, S Hamid, M Jørgensen, H Oberhauser, ...
arXiv preprint arXiv:2301.11832, 2023
15*2023
Probabilistic spatial transformer networks
P Schwöbel, FR Warburg, M Jørgensen, KH Madsen, S Hauberg
Uncertainty in Artificial Intelligence, 1749-1759, 2022
112022
Isometric Gaussian process latent variable model for dissimilarity data
M Jørgensen, S Hauberg
International Conference on Machine Learning, 5127-5136, 2021
92021
Stochastic differential equations with variational wishart diffusions
M Jørgensen, M Deisenroth, H Salimbeni
International Conference on Machine Learning, 4974-4983, 2020
92020
Bézier Gaussian processes for tall and wide data
M Jørgensen, MA Osborne
Advances in Neural Information Processing Systems 35, 24354-24366, 2022
42022
A quadrature approach for general-purpose batch Bayesian optimization via probabilistic lifting
M Adachi, S Hayakawa, M Jørgensen, S Hamid, H Oberhauser, ...
arXiv preprint arXiv:2404.12219, 2024
32024
Adaptive batch sizes for active learning: A probabilistic numerics approach
M Adachi, S Hayakawa, M Jørgensen, X Wan, V Nguyen, H Oberhauser, ...
International Conference on Artificial Intelligence and Statistics, 496-504, 2024
32024
Domain-agnostic batch Bayesian optimization with diverse constraints via Bayesian quadrature
M Adachi, S Hayakawa, X Wan, M Jørgensen, H Oberhauser, ...
arXiv preprint arXiv:2306.05843, 2023
32023
Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo
C Li, G Clarté, M Jørgensen, L Acerbi
arXiv preprint arXiv:2303.05263, 2023
22023
Reparametrization invariance in non-parametric causal discovery
M Jørgensen, S Hauberg
arXiv preprint arXiv:2008.05552, 2020
22020
Stochastic Representations with Gaussian Processes and Geometry
M Jørgensen
PhD Thesis, 2020
12020
Bayesian Quadrature for Neural Ensemble Search
S Hamid, X Wan, M Jørgensen, B Ru, M Osborne
arXiv preprint arXiv:2303.08874, 2023
2023
Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
C Li, G Clarté, M Jørgensen, L Acerbi
arXiv preprint arXiv:2303.05263, 2023
2023
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