Michael Riis Andersen
Michael Riis Andersen
Assistant professor, Technical University of Denmark
Verifierad e-postadress på dtu.dk
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Citeras av
Kinect depth sensor evaluation for computer vision applications
MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ...
Aarhus University, 1-37, 2012
Bayesian inference for structured spike and slab priors
MR Andersen, O Winther, LK Hansen
Advances in Neural Information Processing Systems 27, 1745-1753, 2014
Bayesian inference for spatio-temporal spike-and-slab priors
MR Andersen, A Vehtari, O Winther, LK Hansen
The Journal of Machine Learning Research 18 (1), 5076-5133, 2017
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
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
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
Sparse inference using approximate message passing
MR Andersen
Technical University of Denmark, Department of Applied Mathematics and Computing, 2014
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming
G Riutort-Mayol, PC Bürkner, MR Andersen, A Solin, A Vehtari
arXiv preprint arXiv:2004.11408, 2020
Bayesian optimization of unimodal functions
MR Andersen, E Siivola, A Vehtari
NIPS workshop on Bayesian optimization, 2017
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
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
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
EEG source imaging assists decoding in a face recognition task
RS Andersen, AU Eliasen, N Pedersen, MR Andersen, ST Hansen, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Consumer grade range cameras for monitoring pig feeding behaviour
T Gregersen, T Jensen, M Andersen, L Mortensen, J Maselyne, E Hessel, ...
Papers presented at the 6th European Conference on Precision Livestock …, 2013
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
Robust, accurate stochastic optimization for variational inference
AK Dhaka, A Catalina, MR Andersen, M Magnusson, JH Huggins, ...
arXiv preprint arXiv:2009.00666, 2020
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
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
Hilbert space methods to approximate Gaussian processes using Stan
G Riutort Mayol, MR Andersen, P Bürkner, A Vehtari
preparation, 2019
Ranking variables and interactions using predictive uncertainty measures
T Paananen, MR Andersen, A Vehtari
arXiv preprint arXiv:1910.07942, 2019
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Artiklar 1–20