[Jul 3rd 2019] LabMeeting: A Constraint-based Approach to Learning and Explanation

Gabriele Ciravegna (DIISM, University of Siena) Jul 3, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In the last few years we have seen a remarkable progress from the cultivation of the idea of expressing the interactions of intelligent agents with the environment by the mathematical notion of constraint. However, […]

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[Jun 26th 2019] LabMeeting: Convolutional Networks with Adaptive Inference Graphs

Pietro Bongini (DIISM, University of Siena) Jun 26, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Do convolutional networks really need a fixed feed-forward structure? What if, after identifying the high-level concept of an image, a network could move directly to a layer that can distinguish fine-grained differences? Currently, a […]

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[Jun 12th 2019] LabMeeting: Neural Markov logic networks

Giuseppe Marra (DIISM, University of Florence and Siena) Jun 12, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Markov Logic Networks (MLN) are a very well-known example of statistical relational model. In order to build good models, MLNs ask the user to define in advance a set of first-order logic […]

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[Jun 5th 2019] LabMeeting: Long-Short Term Memories for the identification of helical moieties in proteins

Anna Visibelli (DIISM, University of Siena) Jun 5, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Nowadays, determining the 3D structure of proteins is one of the most challenging tasks in computational biology, essential for understanding protein functions. Thanks to experimental tests, protein conformations can be mainly determined by the […]

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[May 29th 2019] LabMeeting: Autonomous Network Operation with Graph Neural Networks and Deep Reinforcement Learning

Jose Suárez-Varela (DIISM, University of Siena) May 29, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Computer network modeling is a critical component for building future self-driving computer networks, particularly to find optimal configurations that meet the goals set by network administrators. However, existing modeling techniques do not meet the […]

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[May 22nd 2019]: The Growing Curvilinear Component Analysis (GCCA) Neural Network

Giansalvo Cirrincione (University of Picardie Jules Verne (UPJV), Amiens (France) and University of South Pacific (USP), Suva, Fiji) May 22, 2019 – 16:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Big high dimensional data is becoming a challenging field of research. There exist a lot of techniques which infer information. However, because […]

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[May 15th 2019]: An Introduction to Variational Autoencoders

Andrea Panizza (Baker Hughes – General Electric Company) May 15, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The Variational Autoencoder (VAE) is a not-so-new-anymore Latent Variable Model (Kingma & Welling, 2014), which models the pdf of the inputs, and it is thus able to generate new samples from the […]

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[May 8th 2019]: Atomic simulations of conduction across ion channels

Simone Furini (University of Siena) May 8, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Ion channels are membrane proteins that control the fluxes of ions across cell membranes. In order to perform their biological functions, these proteins need to select the different ion species with high accuracy. For instance, […]

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[Apr 3rd 2019]: Meaningful Explanations of Black Box AI Decision Systems

Dino Pedreschi (DIISM, University of Pisa) Apr 3, 2019 – 15:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Black box AI systems for automated decision making, often based on machine learning over (big) data, map a user’s features into a class or a score without exposing the reasons why. This is problematic […]

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