Peter Orbanz
Professor of Machine Learning
Researches symmetry and exchangeability in machine learning, including the mathematical statistics of learning methods and random graphs.
Peter Orbanz's lab at UCL works on learning theory & optimization, computational neuroscience & cognition and neuroscience & brain-computer interfaces. 8 papers since 2023, 8 at top venues, mostly ICML and ICLR. 3 PhD students. 6 alumni, most often to OpenAI.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 100%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 4 papers2025 · T1 4
- 0 papers2024 · T1 0
- 1 papers2023 · T1 1
T1 venuesOtherVenues: ICML, ICLR, NeurIPS
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- Computational neuroscience & cognition0 papers
- Neuroscience & brain-computer interfaces0 papers
- gatsby0 papers
- gatsby computational0 papers
Paper list
From the lab homepage.
20263 papers
- ICLR (T1)A Single Architecture for Representing Invariance Under Any Space Group
- NeurIPS (T1)Debiased Counterfactual Generation via Flow Matching from Observations
- ICML (T1)Interventional Processes for Causal Uncertainty Quantification
20254 papers
- ICLR (T1)Designing Mechanical Meta-Materials by Learning Equivariant Flows
- ICML (T1)Diagonal Symmetrization of Neural Network Solvers
- ICML (T1)Distinguishing Cause from Effect with Causal Velocity Models
- ICML (T1)Efficiently vectorized MCMC on modern accelerators
20231 paper
- NeurIPS (T1)The Graphical Matrix Pencil Method: Exchangeable Distributions
Where alumni went6 listed, 17% to industry
Industry 1Academia 5
Most often to
- OpenAI
Also to
- Harvard University
- Princeton University
- University of Bath
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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Tiers are venue classifications, not lab rankings.