Markus Kaiser

AI Lead, Proxima Fusion

Joined

July 2019

Names

Markus Kaiser

Emails

****@cam.ac.uk (Confirmed)

****@tum.de (Confirmed)

****@proximafusion.com (Confirmed)

****@zfix.org (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

AI Lead

Proxima Fusion (proximafusion.com)

2024 – Present

Postdoc

University of Cambridge (cam.ac.uk)

2021 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
Santiago A Cadena, Andrea Merlo, Emanuel Laude, Alexander Bauer, Atul Agrawal, Maria Pascu, Marija Savtchouk, Lukas Bonauer, Enrico Guiraud, Stuart R. Hudson, Markus Kaiser
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Modulating Surrogates for Bayesian Optimization
Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek
- International Conference on Machine Learning
- Readers: Everyone
Structured Models with Gaussian Processes
Markus Kaiser
- 2021 (modified: 14 Sept 2021)
- undefined 2021
- Readers: Everyone
Modulating Surrogates for Bayesian Optimization
Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek
- 2020 (modified: 14 Sept 2021)
- ICML 2020
- Readers: Everyone
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
- 2020 (modified: 14 Sept 2021)
- Neurocomputing 2020
- Readers: Everyone
Modulated Bayesian Optimization using Latent Gaussian Process Models.
Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Compositional uncertainty in deep Gaussian processes.
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
interpretable dynamics models for data-efficient reinforcement learning
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
- 2019 (modified: 14 Sept 2021)
- ESANN 2019
- Readers: Everyone
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
- 2019 (modified: 14 Sept 2021)
- CoRR 2019
- Readers: Everyone
Data Association with Gaussian Processes
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
- 2019 (modified: 14 Sept 2021)
- ECML/PKDD (2) 2019
- Readers: Everyone

View all 12 publications

Markus Kaiser

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors