AIhub blogpost highlights 2024

Over the course of the year, we've had the pleasure of working with many talented researchers from across the globe. As 2024 draws to a close, we take a look back at some of the excellent blog posts from our contributors. Jose González-Abad reports on work on statistical downscaling for climate models, and introduces a framework which encodes physical constraints to improve consistency and robustness. Diogo Carvalho writes about research on hierarchical reinforcement learning, work that won him and his colleagues a best paper award at ECAI 2023. Yi Chen, Ramya Korlakai Vinayak and Babak Hassibi write about crowdsourced clustering: finding clusters in a dataset with unlabelled items by querying pairs of items for similarity.