Ferenc Huszár
Professor of Machine Learning
Studies the principles of deep learning, including optimisation, generalisation and transfer, and mathematical models of emergent behaviours of LLMs such as in-context learning.
Ferenc Huszár's lab at Cambridge works in Machine Learning. 11 papers since 2023, 7 at top venues, mostly NeurIPS and ICML. 9 PhD students. 6 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 64%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 6
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 5 papers2024 · T1 4
- 4 papers2023 · T1 2
T1 venuesOtherVenues: NeurIPS, ICML, FAccT, ICLR, WACV
Research focuspaper titles that use each topic's words
- principles0 papers
- generalisation0 papers
- transfer0 papers
- mathematical0 papers
- optimisation0 papers
Paper list
From DBLP.
20252 papers
20245 papers
- NeurIPS (T1)Do Finetti: On Causal Effects for Exchangeable Data (opens in a new tab)
- WACVMeta-Learned Kernel For Blind Super-Resolution Kernel Estimation (opens in a new tab)
- ICML (T1)Position: Understanding LLMs Requires More Than Statistical Generalization (opens in a new tab)
- ICML (T1)Recurrent Early Exits for Federated Learning with Heterogeneous Clients (opens in a new tab)
- NeurIPS (T1)Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts (opens in a new tab)
20234 papers
- NeurIPS (T1)Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data (opens in a new tab)
- NeurIPS (T1)FedL2P: Federated Learning to Personalize (opens in a new tab)
- Trans. Mach. Learn. Res.Jacobian-based Causal Discovery with Nonlinear ICA (opens in a new tab)
- PatternsMeasuring disparate outcomes of content recommendation algorithms with distributional inequality metrics (opens in a new tab)
Where alumni went6 listed
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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- Members
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