Carl Rasmussen
Professor of Machine Learning
Works on probabilistic machine learning, especially Gaussian processes and non-parametric models, and their use for reinforcement learning and adaptive control.
Carl Rasmussen's lab at Cambridge works on probabilistic & causal inference and reinforcement learning. 3 papers since 2023, 2 at top venues, mostly ICLR and JMLR. 30 alumni, most often to Google DeepMind and Apple. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 67%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 30
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 0 papers2025 · T1 0
- 2 papers2024 · T1 1
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, JMLR
Research focuspaper titles that use each topic's words
- gaussian processes2 papers
- processes2 papers
- Reinforcement learning1 paper
- Probabilistic & causal inference0 papers
- adaptive control0 papers
Paper list
From DBLP.
20261 paper
Where alumni went30 listed, 56% to industry
Industry 14Academia 11
Most often to
- Google DeepMind
- Apple
- Delft Center for Systems and Control
Also to
- MIT
- Imperial College London
- Montreal Institute for Learning Algorithms
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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- Papers
- DBLP
- Members
- Lab homepage
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- Lab homepage
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