Stefan Bauer
Professor
Develops machine learning methods that refine internal hypotheses and use discrete, structured representations for abstraction, adaptive inference and multi-step decision making, with work on causal and explainable AI.
Stefan Bauer's lab at TUM works on reinforcement learning, probabilistic & causal inference and efficient training & inference.
At a glance
- papers, 2023–2026
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- at T1 venues
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- PhD students
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- MS students
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- alumni listed
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Papers by year2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Paper list
No papers from 2023–2026 are listed for this lab.
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TUMRolling
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Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- No publication list could be matched on the lab site or in DBLP.
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