Markus Kaiser

Orcid: 0000-0003-0557-9755

Affiliations:

Technical University of Munich, Germany (PhD 2021)
Siemens AG, Munich, Germany

According to our database¹, Markus Kaiser authored at least 11 papers between 2018 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2022

Optimisation of a global climate model ensemble for prediction of extreme heat days.

[BibT_eX]

[DOI]

CoRR, 2022

Ice Core Dating using Probabilistic Programming.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Structured Models with Gaussian Processes.

[BibT_eX]

[DOI]

Markus Kaiser

PhD thesis, 2021

2020

Bayesian decomposition of multi-modal dynamical systems for reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Compositional uncertainty in deep Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Modulating Surrogates for Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Modulated Bayesian Optimization using Latent Gaussian Process Models.

[BibT_eX]

[DOI]

CoRR, 2019

Data Association with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

interpretable dynamics models for data-efficient reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Multimodal Deep Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2018

Bayesian Alignments of Warped Multi-Output Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Markus Kaiser

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Bibliography

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