Michael Bronstein
DeepMind Professor of Artificial Intelligence
Works on geometric deep learning and graph neural networks, with applications to 3D shape analysis, protein design and non-human species communication.
Michael Bronstein's lab at Oxford works on graph learning, signal processing & information theory and geometry processing & modeling. 11 papers since 2023, 10 at top venues, mostly NeurIPS and ICML. 1 alumnus. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 91%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 1
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 5
- 4 papers2024 · T1 4
- 1 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICML, ICLR, Nature, TMLR
Research focuspaper titles that use each topic's words
- Graph learning8 papers
- Geometry processing & modeling1 paper
- Signal processing & information theory0 papers
- protein design0 papers
- shape analysis0 papers
Paper list
From the lab homepage.
20256 papers
- NeurIPS (T1)Curly Flow Matching for Learning Non−gradient Field Dynamics (opens in a new tab)
- NeurIPS (T1)Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models (opens in a new tab)
- ICLR (T1)Homomorphism Counts as Structural Encodings for Graph Learning (opens in a new tab)
- ICML (T1)How Expressive are Knowledge Graph Foundation Models? (opens in a new tab)
- TMLR (T1)Link prediction with relational hypergraphs (opens in a new tab)
- LOGRelaxed Equivariance via Multitask Learning (opens in a new tab)
20244 papers
- ICML (T1)Cooperative Graph Neural Networks (opens in a new tab)
- NeurIPS (T1)Fisher Flow Matching for Generative Modeling over Discrete Data (opens in a new tab)
- ICML (T1)Homomorphism Counts for Graph Neural Networks: All About That Basis (opens in a new tab)
- NeurIPS (T1)Learning on Large Graphs using Intersecting Communities (opens in a new tab)
Where alumni went1 listed
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
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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- Lab homepage
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