part of the fun of this project was being able to find a practical application of category theory (more to come?)

NoProp: Training Neural Networks without Back-propagation or Forward-propagation ift.tt/UjN04y6

There’s a lot of confusion around uncertainty in machine learning. We argue the "aleatoric vs epistemic" view has contributed to this and present a rigorous alternative. #ICML2025 with Jannik Kossen @eleanortrollope Mark van der Wilk @adamefoster Tom Rainforth 1/5

Thoroughly enjoyed the perspective here. Genuinely insightful application of categorical methods to build a structural-semantic bridge across Bayesian, frequentist, and conformal prediction approaches to uncertainty quantification. arxiv.org/abs/2507.04441

I'm looking for talented and ambitious PhD students to join me at Nanyang Technological University Singapore to work on safe and robust AI systems! Full scholarships covering tuition and a stipend are available, and are open to local and international students alike.

I have an opening for a 2-year postdoc in probabilistic machine learning and/or experimental design. The application deadline is the 3rd of September. See here for details and how to apply: tinyurl.com/rainmlpostdoc2…

With Jesus College Oxford we are looking for a Professor of Statistics. Become part of a historic institution and a community focused on academic excellence, innovative thinking, and significant practical application. About the role: tinyurl.com/b8uy6mr5 Deadline: 15 September