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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
3142012
Bayesian inference for structured spike and slab priors
MR Andersen, O Winther, LK Hansen
Advances in Neural Information Processing Systems 27, 2014
652014
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
612023
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
512019
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
402020
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
352019
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
322017
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
312020
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
302021
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
202021
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
192018
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
162020
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
132018
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
Robust, automated, and accurate black-box variational inference
M Welandawe, MR Andersen, A Vehtari, JH Huggins
arXiv preprint arXiv:2203.15945, 2022
102022
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
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
92019
Sparse inference using approximate message passing
MR Andersen
Technical University of Denmark, Department of Applied Mathematics and Computing, 2014
82014
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
72017
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Artiklar 1–20