[ About | Papers | Talks | Social | Blog | Personal ]
I'm a PhD student on the AIMS CDT supervised by Professor Mark van der Wilk in the Department of Computer Science at the University of Oxford.
Training modern AI systems requires huge datasets and expensive data centres. In contrast, we as humans can learn much more efficiently, in terms of data and memory consumption. How can we design AI models that can learn as efficiently and robustly as humans can learn? Answering this question is the goal of my research.
Answering this question would be useful, firstly because it would reduce the energy and hardware costs of training large AI models, and secondly because it would improve our scientific understanding of intelligence.
| 2025 | "SynDaCaTE: A Synthetic Dataset For Evaluating Part-Whole Hierarchical Inference" · Jake Levi, Mark van der Wilk [ abstract | pdf | poster | tweet ] |
| 2024 | "Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games" · Jake Levi, Chris Lu, Timon Willi, Christian Schroeder de Witt, Jakob Foerster [ abstract | pdf ] |
| 2025-02-06 | "Parallelisable Recurrent Sequence Models" · OccaMLab x OATML joint-group seminar series [ slides | slides with notes ] |
| @jakelevi_ml | |
| @jakelevi1996 | |
| GitHub | @jakelevi1996 |
| Scholar | @Jake Levi |
| 2025-12-28 | Is the future of AI in good hands? An analysis of 3 Tweets |
| 2025-10-21 | Thoughts about motivation for research |
| 2025-02-09 | What ADHD means to me |
Besides rock climbing (trad + sport + bouldering), cinema, and playing classical guitar, my major passion is designing HTML websites. If you would like me to design your website, email me at
<a href=
| Source | License |