Rob Cornish
Nanyang Assistant Professor
Works on AI safety and reliable machine learning, including generative models, geometric deep learning, causal inference and uncertainty.
Rob Cornish's lab at NTU works on probabilistic & causal inference, trustworthy & safe ML and geometry processing & modeling. 6 papers since 2023. 2 PhD students. 1 alumnus.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 0%
- PhD students
- 2
- MS students
- 0
- alumni listed
- 1
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 1 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference1 paper
- Trustworthy & safe ML0 papers
- Geometry processing & modeling0 papers
- reliable machine0 papers
- geometric deep0 papers
Paper list
From the lab homepage.
20262 papers
- Logic in Computer Science (LICS)A categorical account of the Metropolis-Hastings algorithm
- Neural Information Processing Systems (NeurIPS)Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
20251 paper
- International Conference on Learning Representations (ICLR)SymDiff: Equivariant Diffusion via Stochastic Symmetrisation
20241 paper
- NeurIPS WorkshopNeural Network Symmetrisation in Concrete Settings
20232 papers
- Journal of Machine Learning Research (JMLR)Causal Falsification of Digital Twins
- Neural Information Processing Systems (NeurIPS)Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
Where alumni went1 listed
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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