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Michael Riis Andersen
Michael Riis Andersen
Associate professor, Technical University of Denmark
Verified email at dtu.dk
Title
Cited by
Cited by
Year
Kinect depth sensor evaluation for computer vision applications
MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ...
Aarhus University, 1-37, 2012
3272012
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming
G Riutort-Mayol, PC Bürkner, MR Andersen, A Solin, A Vehtari
Statistics and Computing 33 (1), 17, 2023
872023
Bayesian inference for structured spike and slab priors
MR Andersen, O Winther, LK Hansen
Advances in Neural Information Processing Systems 27, 2014
682014
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
T Paananen, J Piironen, MR Andersen, A Vehtari
The 22nd international conference on artificial intelligence and statistics …, 2019
642019
Leave-one-out cross-validation for Bayesian model comparison in large data
M Magnusson, A Vehtari, J Jonasson, M Andersen
International conference on artificial intelligence and statistics, 341-351, 2020
572020
Challenges and opportunities in high dimensional variational inference
AK Dhaka, A Catalina, M Welandawe, MR Andersen, J Huggins, A Vehtari
Advances in Neural Information Processing Systems 34, 7787-7798, 2021
542021
Bayesian leave-one-out cross-validation for large data
M Magnusson, M Andersen, J Jonasson, A Vehtari
International Conference on Machine Learning, 4244-4253, 2019
412019
Robust, accurate stochastic optimization for variational inference
AK Dhaka, A Catalina, MR Andersen, M Magnusson, J Huggins, A Vehtari
Advances in Neural Information Processing Systems 33, 10961-10973, 2020
392020
Bayesian inference for spatio-temporal spike-and-slab priors
MR Andersen, A Vehtari, O Winther, LK Hansen
Journal of Machine Learning Research 18 (139), 1-58, 2017
362017
Preferential batch Bayesian optimization
E Siivola, AK Dhaka, MR Andersen, J González, PG Moreno, A Vehtari
2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021
272021
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations
E Siivola, A Vehtari, J Vanhatalo, J González, MR Andersen
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
262018
State space expectation propagation: Efficient inference schemes for temporal Gaussian processes
W Wilkinson, P Chang, M Andersen, A Solin
International Conference on Machine Learning, 10270-10281, 2020
192020
Bayesian structure learning for dynamic brain connectivity
M Andersen, O Winther, LK Hansen, R Poldrack, O Koyejo
International Conference on Artificial Intelligence and Statistics, 1436-1446, 2018
172018
Robust, automated, and accurate black-box variational inference
M Welandawe, M Riis Anderson, A Vehtari, J Huggins
ArXiv, 2022
142022
Bayesian optimization of unimodal functions
MR Andersen, E Siivola, A Vehtari
NIPS workshop on Bayesian optimization, 2017
132017
Unifying probabilistic models for time-frequency analysis
WJ Wilkinson, MR Andersen, JD Reiss, D Stowell, A Solin
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
122019
Efficient recovery of structured sparse signals via approximate message passing with structured spike and slab prior
X Meng, S Wu, MR Andersen, J Zhu, Z Ni
China Communications 15 (6), 1-17, 2018
122018
SolarDK: A high-resolution urban solar panel image classification and localization dataset
M Khomiakov, JH Radzikowski, CA Schmidt, MB Sørensen, M Andersen, ...
arXiv preprint arXiv:2212.01260, 2022
112022
End-to-end probabilistic inference for nonstationary audio analysis
W Wilkinson, M Andersen, JD Reiss, D Stowell, A Solin
International Conference on Machine Learning, 6776-6785, 2019
102019
A framework for improving the reliability of black-box variational inference
M Welandawe, MR Andersen, A Vehtari, JH Huggins
Journal of Machine Learning Research 25 (219), 1-71, 2024
92024
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