| Kinect depth sensor evaluation for computer vision applications MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ... Aarhus University, 1-37, 2012 | 318 | 2012 |
| 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 | 72 | 2023 |
| Bayesian inference for structured spike and slab priors MR Andersen, O Winther, LK Hansen Advances in Neural Information Processing Systems 27, 2014 | 67 | 2014 |
| 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 | 54 | 2019 |
| 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 | 46 | 2020 |
| 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 | 45 | 2021 |
| 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 | 38 | 2019 |
| 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 | 36 | 2020 |
| 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 | 34 | 2017 |
| 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 | 25 | 2021 |
| 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 | 22 | 2018 |
| 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 | 17 | 2020 |
| 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 | 17 | 2018 |
| Robust, automated, and accurate black-box variational inference M Welandawe, M Riis Anderson, A Vehtari, J Huggins arXiv, 2022 | 14 | 2022 |
| Bayesian optimization of unimodal functions MR Andersen, E Siivola, A Vehtari NIPS workshop on Bayesian optimization, 2017 | 13 | 2017 |
| 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 | 12 | 2019 |
| 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 | 10 | 2018 |
| 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 | 9 | 2019 |
| Sparse inference using approximate message passing MR Andersen Technical University of Denmark, Department of Applied Mathematics and Computing, 2014 | 9 | 2014 |
| 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 | 7 | 2017 |
Aki VehtariProfessor, Aalto UniversityVerified email at aalto.fi
