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Michael Riis Andersen
Michael Riis Andersen
Associate professor, Technical University of Denmark
Verifierad e-postadress på dtu.dk
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Kinect depth sensor evaluation for computer vision applications
MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ...
Aarhus University, 1-37, 2012
2972012
Bayesian inference for structured spike and slab priors
MR Andersen, O Winther, LK Hansen
Advances in Neural Information Processing Systems 27, 2014
602014
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
352019
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
312017
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
302020
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
272020
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
222019
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
212020
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
142018
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
122020
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
122018
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
102021
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
102019
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
102018
Bayesian optimization of unimodal functions
MR Andersen, E Siivola, A Vehtari
NIPS workshop on Bayesian optimization, 2017
92017
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
82019
Sparse inference using approximate message passing
MR Andersen
Technical University of Denmark, Department of Applied Mathematics and Computing, 2014
72014
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
62017
A non-parametric probabilistic model for monotonic functions.“
MR Andersen, E Siivola, G Riutort-Mayol, A Vehtari
All Of Bayesian Nonparametrics” Workshop at NeurIPS, 2018
52018
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
52013
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Artiklar 1–20