How can we develop learned algorithms that enable us to obtain sharper computed tomography (CT) scans of complex objects such as works of art? Maximilian B. Kiss explored this question in his thesis, ...
On October 30th, the six finalists for the 2025 CWI Best Thesis in Applied Math Award pitched their research. After careful ...
Over the past decade, neurotechnology – the science of connecting technology directly with the brain – has grown at an astonishing pace. This field is developing devices that can monitor or even ...
A cutting-edge consortium project called ‘Understanding Large and cOmplex Power sYstems’ (UTOPYS) will enable researchers to build the world’s largest research cluster for real-time energy system ...
In humans, attention focuses neural resources on a limited part of the sensory experience. Psychophysics also tells us that we only learn about that to which we attend. In deep learning, attention ...
How much evidence do the data give us about one hypothesis versus another? The standard way to measure evidence is still the p-value, despite a myriad of problems surrounding it – problems which are ...
Background: A fundamental task in sequential decision making is Prediction with Expert Advice, also known as Decision Theoretic Online Learning or the Hedge Setting (Freund and Schapire, 1997). Here a ...
Background: Pure Exploration is an active area of Machine Learning and Statistics. Its central problem of Best Arm Identification has been studied intensively since (Even-Dar, Mannor, and Mansour, ...
Background: Pure Exploration is an active area of Machine Learning and Statistics. Its central problem of Best Arm Identification has been studied intensively since (Even-Dar, Mannor,and Mansour, 2002 ...
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