Applications are now open to join our new UKRI AI Centre for Doctoral Training in Biomedical Innovation for September 2024 entry. All the information you need to apply is ➡️ ai4biomed.io UK Research and Innovation @AI4BI_CDT

Classical mixture models are limited to positive weights and this requires learning very large mixtures! Can we learn (deep) mixtures with negative weights? Answer in our #ICLR2024 spotlight by Lorenzo Loconte Aleks, Martin, Stefan, Nicolas Arno Solin 📜openreview.net/forum?id=xIHi5…

Prepare the pentobarbital.

The softmax bottleneck is an interesting problem; it has many side effects which we do not yet fully understand! If you want to build an intuition for the problem, here is an interactive visualisation I made grv.unargmaxable.ai/static/files/s… (best viewed on desktop).

New preprint out!🚨We performed a large scale analysis of physicochemical features extracted from over half a million AlphaFold structural models, and using data-driven methods we showed a link between these features and in vivo behaviour of proteins. Find out more below⬇️1/9

Will be at AISTATS this week, would love to chat if you have integrals to approximate or are generally into compstat / opt. transport / estimation in causal inference. Also we have two papers around importance sampling and variational inference. 1st: adaptive IS for heavy tails

we evaluate #continual learning models on "baby" benchmarks, where it is easy to show no catastrophic forgetting! we propose a new simple benchmark that glues simple but still challenging tasks in a curriculum: from MNIST to Imagenet and back! 📜link.springer.com/article/10.100…

#NeuroSymbolic #AI 🤖 enforces constraints, but models can achieve high accuracy using wrong concepts. Can we spot when a model relies on flawed concepts and ensure #trustworthiness? Yes, with BEARS! 🐻 📢 Introducing our latest paper, accepted as a spotlight at UAI2024 !🎉📄

and congratulations to Dr. Filippo Corponi who successfully passed his viva, examined by Paolo Ossola and Kia Nazarpour Filippo's thesis is a wonderful bridge between #ML #AI and clinical practice in psychiatry for mood disorders with wearable!