Publications

We do research in both theoretical machine learning, as well as applications of machine learning in various domains, including medical, astronomy, autonomous driving, and more.

Recent publications:

	12/2025: "Random Baselines for Simple Code Problems are Competitive with Code Evolution" (Yonatan Gideoni, Yujin Tang, Sebastian Risi, Yarin Gal).
	09/2025: "Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated" (Hanna Foerster, Ilia Shumailov, Yiren Zhao, Harsh Chaudhari, Jamie Hayes, Robert Mullins, Yarin Gal).
	08/2025: "Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs" (Kyle O'Brien, Stephen Casper, Quentin Anthony, Tomek Korbak, Robert Kirk, Xander Davies, Ishan Mishra, Geoffrey Irving, Yarin Gal, Stella Biderman).

Group Blog

Recent group blog posts:

	09 Oct 2025: Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples (Xander Davies, Yarin Gal)
	19 Sep 2025: OATML conference papers at NeurIPS 2025 (Yarin Gal, Lukas Aichberger, Jannik Kossen, Luckeciano Carvalho Melo, Gunshi Gupta, Muhammed Razzak, Freddie Bickford Smith, Xander Davies, Hazel Kim)
	19 Jun 2024: Detecting hallucinations in large language models using semantic entropy (Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal)
	25 Nov 2022: OATML Conference papers at NeurIPS 2022 (Yarin Gal, Freddie Kalaitzis, Shreshth Malik, Lorenz Kuhn, Gunshi Gupta, Jannik Kossen, Pascal Notin, Andrew Jesson, Panagiotis Tigas, Tim G. J. Rudner, Sebastian Farquhar, Ilia Shumailov)

Reproducibility and Code

One of our lab's missions is to contribute to the reproducibility effort. Here we provide code for our own research, as well as reproductions of works by others (e.g. ones we implemented as baselines as part of our own research).

Recent code release:

	07/2025: Rethinking aleatoric and epistemic uncertainty (Freddie Bickford Smith).
	07/2024: AI models collapse when trained on recursively generated data (Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal).
	06/2024: Detecting hallucinations in large language models using semantic entropy (Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal).
	04/2023: Bayesian active learning with EPIG data acquisition (Freddie Bickford Smith).
	05/2022: Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval (Pascal Notin).

Group Members

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) ● Daniella (Zihuiwen) Ye (Postdoc, 2024) ● Anushka Nair (PhD, 2025) ● Sergio Calvo Ordoñez (Associate Member (PhD), 2025) ● Diana Verley (Associate Member (Program Manager), 2025) ● Xander Davies (PhD, 2024) ● Yoav Gelberg (PhD, 2024) ● Suhaas Bhat (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) ● Ilia Shumailov (Associate Member (Senior Research Fellow), 2022) ● Ruben Weitzman (PhD, 2021) ● Shreshth Malik (PhD, 2021) ● Muhammed Razzak (PhD, 2020) ● Freddie Bickford Smith (Associate Member (PhD), 2020) ● Gabriel Jones (Associate Member (Faculty), 2020) ● Atılım Güneş Baydin (Associate Member (Faculty), 2020) ● Pascal Notin (Associate Member (Senior Research Fellow), 2019) ● Tom Rainforth (Associate Member (Faculty), 2019) ● Panagiotis Tigas (Associate Member (Senior Research Fellow), 2018) ● Sebastian Farquhar (Associate Member (Senior Research Fellow), 2017)

Group Invited Talks

Recent invited talks:

13 Feb 2026, 12:00, Oxford	Clare Lyle (DeepMind). Reinforcement learning
30 Oct 2025, 15:00, Virtual	Tim Rudner (University of Toronto / Vector Institute). Probabilistic Methods for Robust and Transparent Language Models
20 Jun 2025, 11:00, Oxford	Katie Collins (Cambridge). The Study and Design of Human-AI Thought Partnerships
19 Jun 2025, 10:00, Oxford	Prof Alison Gopnik (University of California Berkeley). Intrinsically-motivated humans and agents in open-world exploration

Group Collaborators and Affiliates

Our group collaborators include:

And our group affiliates include: