[Jan 29th 2020] LabMeeting: Learning in Text Streams, Discovery and Disambiguation of Entity and Relation Instances

Andrea Zugarini (University of Florence) Jan 29, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description We consider a scenario where an artificial agent is reading a stream of text composed of a set of narrations, and it is informed about the identity of some of the individuals that are mentioned […]

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[Jan 22nd 2020] LabMeeting: Analyzing and Improving the Image Quality of StyleGAN

Giorgio Ciano (University of Siena) Jan 22, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generativeimage modeling. We expose and analyze several of its characteristic artifacts, and propose changes in both model architecture and training methods to address them. […]

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Integrative ML Workshop

Workshop on “Integrative Machine learning” Satellite Workshop at the 6th International Conference on Machine Learning, Optimization & Data Science July 18, 2020 – Certosa di Pontignano, Siena, Italy Conference Room: Bracci Full-Day Workshop @ LOD 2020 Integrative Machine Learning Machine learning is very effective at jointly learning feature representations and classification models, especially when dealing […]

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[Jan 15th 2020] LabMeeting: Toward in silico Design of Rhodopsin Mutants by integrating Hybrid QM/MM and Machine Learning Approaches

Anna Visibelli (University of Siena) Jan 15, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Microbial rhodopsins, light-dependent ion-transporting membrane proteins, are widely used in optogenetics, due to their low phototoxicity and high tissue penetration. To widen possible optogenetic applications (e.g., diverse optical control of neural activity) novel rhodopsins, exhibiting […]

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[Jan 8th 2020] LabMeeting: Deep Learning and the Renormalization Group

Lapo Faggi (University of Florence) Jan 8, 2020 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Despite their enormous success, a clear theoretical understanding on why Deep Neural Networks work so well and on how they can efficiently extract specific features is still lacking. Recently, some possible explanations were proposed, based […]

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