Michael Riis Andersen
Orcid: 0000-0002-7411-5842
According to our database1,
Michael Riis Andersen
authored at least 27 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Northern Lights Deep Learning Conference, 2024
2023
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming.
Stat. Comput., 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Creating the next generation of news experience on ekstrabladet.dk with recommender systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Learning To Generate 3d Representations of Building Roofs Using Single-View Aerial Imagery.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
SolarDK: A high-resolution urban solar panel image classification and localization dataset.
CoRR, 2022
2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Correcting boundary over-Exploration Deficiencies in Bayesian Optimization with Virtual derivative Sign observations.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
J. Mach. Learn. Res., 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013