Brooks Paige
Associate Professor in Machine Learning
Develops interpretable probabilistic machine learning models that complement human expertise, including applications in chemistry and medicine.
Brooks Paige's lab at UCL works on probabilistic & causal inference, trustworthy & safe ML and proteins, drugs & materials. 12 papers since 2023, 7 at top venues, mostly NeurIPS and ICML.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 58%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 2
- 6 papers2024 · T1 4
- 2 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICML, Journal of Chemical Information and Modeling, BMVC
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials1 paper
- Probabilistic & causal inference0 papers
- Trustworthy & safe ML0 papers
- develops interpretable0 papers
- chemistry0 papers
Paper list
From DBLP.
20261 paper
- Journal of Chemical Information and ModelingCACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2 (opens in a new tab)
20253 papers
- Journal of Chemical Information and ModelingCACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13 (opens in a new tab)
- NeurIPS (T1)Effects of Dropout on Performance in Long-range Graph Learning Tasks (opens in a new tab)
- ICML (T1)Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift (opens in a new tab)
20246 papers
- NeurIPS (T1)Analysing the Generalisation and Reliability of Steering Vectors (opens in a new tab)
- NeurIPS (T1)AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction (opens in a new tab)
- BMVCBalancing Calibration and Performance: Stochastic Depth in Segmentation BNNs (opens in a new tab)
- Bioinform.Chainsaw: protein domain segmentation with fully convolutional neural networks (opens in a new tab)
- ICML (T1)Diffusive Gibbs Sampling (opens in a new tab)
- ICML (T1)Gaussian Processes on Cellular Complexes (opens in a new tab)
20232 papers
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.