David Barber
Professor of Machine Learning
Works on probabilistic machine learning and the science of fundamental AI, directing the SoFAIR lab and leading computation for open lung-imaging research.
David Barber's lab at UCL works on probabilistic & causal inference. 12 papers since 2023, 4 at top venues, mostly NeurIPS and ICML. 2 PhD students.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 33%
- PhD students
- 2
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 1
- 5 papers2024 · T1 2
- 3 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICML, Medical Image Analysis
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference1 paper
- directing0 papers
- leading0 papers
- open0 papers
- probabilistic machine0 papers
Paper list
From the lab homepage.
20254 papers
- Conference on Empirical Methods in Natural Language Processing-EMNLPFrom Characters to Tokens: Dynamic Grouping with Hierarchical BPE
- ICLR - The Thirteenth International Conference on Learning RepresentationsImproving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching (opens in a new tab)
- NeurIPS (T1)Incremental Sequence Classification with Temporal Consistency (opens in a new tab)
- Proceedings of Machine Learning ResearchTraining Neural Samplers with Reverse Diffusive KL Divergence
20245 papers
- Proceedings of Machine Learning ResearchActive Preference Learning for Large Language Models
- ELEMENTA-SCIENCE OF THE ANTHROPOCENEAn overview of the NEMO modelling for the BaySys project
- ICML (T1)Diffusive Gibbs Sampling
- NeurIPS (T1)Moment Matching Denoising Gibbs Sampling (opens in a new tab)
- European Respiratory JournalMortality surrogates in combined pulmonary fibrosis and emphysema (opens in a new tab)
20233 papers
- HeliyonA hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study (opens in a new tab)
- Medical Image Analysis (T1)CenTime: Event-conditional modelling of censoring in survival analysis (opens in a new tab)
- IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor DetectorsNeural Network Based Methods for the Survival Analysis of Idiopathic Pulmonary Fibrosis Patients from a Baseline CT Acquisition (opens in a new tab)
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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Data
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- The alumni list could not be found on the lab site.
- This site is shared with other labs, so counts may overlap.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
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Tiers are venue classifications, not lab rankings.