Abstract: Although supervised deep normal estimators have recently shown impressive results on synthetic benchmarks, their performance deteriorates significantly in real-world scenarios due to the ...

Abstract: Distribution shifts from external events and new entities can significantly compromise spatial-temporal prediction accuracy, potentially leading to severe outcomes like traffic accidents.

Coming from a family without an architectural legacy, when Nuru Karim said he wanted to pursue architecture, he was politely asked ‘why’. “Architecture felt like the natural intersection, an avenue ...