Oxford Applied and Theoretical Machine Learning Group
OATML

19 Feb 2025
24 Jan 2025
29 Jul 2024
24 Jul 2024
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04/2025: "Bridging the Human–AI Knowledge Gap through Concept Discovery and Transfer in AlphaZero" (Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim). |
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03/2025: "Attacking Multimodal OS Agents with Malicious Image Patches" (Lukas Aichberger, Alasdair Paren, Yarin Gal, Philip Torr, Adel Bibi). |
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02/2025: "Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy" (Jahan C. Penny-Dimri, Magdalena Bachmann, William R. Cooke, Sam Mathewlynn, Samual Dockree, John Tolladay, Jannik Kossen, Lin Li, Yarin Gal, Gabriel Jones). |
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07/2024: AI models collapse when trained on recursively generated data (Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal). |
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06/2024: Detecting hallucinations in large language models using semantic entropy (Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal). |
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04/2023: Bayesian active learning with EPIG data acquisition (Freddie Bickford Smith). |
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05/2022: Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval (Pascal Notin). |
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12/2021: Improving black-box optimization in VAE latent space using decoder uncertainty (Pascal Notin). |
We are researchers coming from varied backgrounds, including Computer Science, Maths & Stats, Engineering, and Physics.
We come from academia (Oxford, Cambridge, MILA, Manchester, U of Amsterdam, U of Toronto, U of Cape Town, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups).
Current and former members include Rhodes Scholars, Clarendon Scholars, DeepMind Scholars, one cancer research UK Scholar, with our students funded by many additional sources (AIMS CDT, Cyber CDT, industry, and more). If you'd like to join us take a look here.
Current group members:
Yarin Gal (Associate Professor) ●
Lin Li (Postdoc, 2025) ●
Tiarnan Doherty (Postdoc, 2022) ●
Daniella (Zihuiwen) Ye (PhD, 2024) ●
Xander Davies (PhD, 2024) ●
Yoav Gelberg (PhD, 2024) ●
Suhaas Bhat (Associate Member (PhD), 2024) ●
Lukas Aichberger (Associate Member (PhD), 2024) ●
Luckeciano Carvalho Melo (PhD, 2023) ●
Matthew Kearney (PhD, 2023) ●
Yonatan Gideoni (PhD, 2023) ●
Hazel Kim (Associate Member (PhD), 2023) ●
Katrina Dickson (Associate Member (Program Manager), 2023) ●
Kunal Handa (MSc by Research, 2023) ●
Ilia Shumailov (Associate Member (Senior Research Fellow), 2022) ●
Gunshi Gupta (PhD, 2021) ●
Kelsey Doerksen (PhD, 2021) ●
Ruben Weitzman (PhD, 2021) ●
Shreshth Malik (PhD, 2021) ●
Lisa Schut (PhD, 2020) ●
Muhammed Razzak (PhD, 2020) ●
Gabriel Jones (Associate Member (PhD), 2020) ●
Freddie Bickford Smith (Associate Member (PhD), 2020) ●
Atılım Güneş Baydin (Associate Member (Faculty), 2020) ●
Pascal Notin (Associate Member (Senior Research Fellow), 2019) ●
Tom Rainforth (Associate Member (Faculty), 2019) ●
Sebastian Farquhar (Associate Member (Senior Research Fellow), 2017)
11 Jun 2024, 12:00, Room 051 | Marco Sertoli (Tokamak Energy). ML for Fusion Research |
14 May 2024, 12:00, Lecture Theatre A | Albert Jiang (Cambridge/Mistral). Trustworthy Automation in Mathematics with Language Models |
03 May 2024, 13:00, Lecture Theatre A | Jonathan Frankle (Databricks). Training Modern LLMs from Scratch |
05 Mar 2024, 16:00, Lecture Theatre A | Nicolas Papernot (University of Toronto). Characterizing Machine Unlearning through Definitions and Implementations |
Our group collaborators include:
And our group affiliates include: