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 aihub blogpost highlight 2024


AIhub blogpost highlights 2024

AIHub

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.