Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO014.
This thesis explores the field of graph neural networks, a class of deep learning models designed to learn representations of graphs. We organise the work into two parts. In the first part, we focus on the essential building blocks of graph neural networks. We present three novel operators for learning graph representations: one graph convolutional layer and two methods for pooling. We put...
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In: Journal of Computational Neuroscience, 2015, vol. 39, no. 1, p. 29-51
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In: Cerebral Cortex, 2018, vol. 28, no. 4, p. 1396-1415
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In: Cerebral Cortex, 2017, vol. 27, no. 5, p. 3052-3063
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In: Cerebral Cortex, 2017, vol. 27, no. 7, p. 3869-3878
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In: Brain and Language, 2020, vol. 205, p. 104775
This study investigated the role of the left dorsolateral prefrontal cortex (DLPFC) in language switching using theta burst stimulation (TBS) and electroencephalography in late bilinguals. After a sham-controlled baseline, participants received either excitatory or inhibitory TBS over the left DLPFC before conducting picture naming tasks in pure language blocks and a language switching...
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Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020ECO002.
My dissertation consists of three chapters, each of which focuses on a different area of research in asset pricing. The first chapter deals with the informational role of brokerage firms during fire sales in the equity market. The second chapter exploits the ETF program by the bank of Japan as a quasi-natural experiment to measure the slope of the equity demand curve. The last chapter presents...
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In: Current Opinion in Insect Science, 2019, vol. 36, p. 25–32
Vision is essential to maximize the efficiency of daily tasks such as feeding, avoiding predators or finding mating partners. An advantageous model is Drosophila melanogaster, since it offers tools that allow genetic and neuronal manipulation with high spatial and temporal resolution, which can be combined with behavioral, anatomical and physiological assays. Recent advances have expanded our...
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In: Experimental economics, 2019, p. 1-35
We investigate how the selection process of a leader affects team performance with respect to social learning. We use a laboratory experiment in which an incentivized guessing task is repeated in a star network with the leader at the center. Leader selection is either based on competence, on self-confidence, or made at random. In our setting, teams with random leaders do not underperform....
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In: Communications in Mathematical Physics, 2014, vol. 328, no. 3, p. 1255-1274
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