Ferenc Huszár

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Humans develop rich mental representations that guide their behavior in a variety of everyday tasks. However, it is unknown whether these representations, often formalized as priors in Bayesian inference, are specific for each task or subserve multiple tasks. Current approaches cannot distinguish between these two possibilities because they cannot extract(More)
A central challenge in cognitive science is to measure and quantify the mental representations humans develop – in other words, to 'read' subject's minds. In order to eliminate potential biases in reporting mental contents due to verbal elaboration, subjects' responses in experiments are often limited to binary decisions or discrete choices that do not(More)
Image Super-resolution (SR) is an underdetermined inverse problem, where a large number of plausible high-resolution images can explain the same downsam-pled image. Most current single image SR methods use empirical risk minimi-sation, often with a pixel-wise mean squared error (MSE) loss. However, the outputs from such methods tend to be blurry,(More)
b Acknowledgements I would like to thank Carl Rasmussen for advice throughout my PhD; Steven Bottone for extensive proof reading; Marc Deisenroth for assisting me in acquiring his L A T E X skills. I acknowledge my examiners Zoubin Ghahramani (internal) and Amos Storkey (external). I would like to thank my co-authors in the publications leading up to my(More)
In this paper we revisit the problem of optimal design of quantum tomographic experiments. In contrast to previous approaches where an optimal set of measurements is decided in advance of the experiment, we allow for measurements to be adaptively and efficiently reoptimized depending on data collected so far. We develop an adaptive statistical framework(More)
We report an experimental realization of an adaptive quantum state tomography protocol. Our method takes advantage of a Bayesian approach to statistical inference and is naturally tailored for adaptive strategies. For pure states, we observe close to N −1 scaling of infidelity with overall number of registered events, while the best nonadaptive protocols(More)