ACDL Satellite Workshop on Graph Neural Networks

The satellite ACDL workshop on Graph Neural Networks (GNNs) was held in SAILab on the 22nd of July. Program Morning Session 09:00: Introduction – Marco Gori 09:15: GNNs for heterogeneous information – Franco Scarselli 09:45: Graph networks for learning about complex systems – Peter Battaglia 10:15: A Deep Learning based Community Detection approach – Giancarlo […]

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[Jul 24th 2019] LabMeeting: On the Role of Time in Learning

Alessandro Betti (DIISM, University of Siena) Jul 24, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large the process of learning concepts that are embedded in time is regarded as quite a mature research topic. Hidden Markov models, recurrent neural networks are, amongst others, successful approaches to learning […]

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[Jul 25th 2019] Learning to Recognize Actions in Videos

Oswald Lanz (FBK) Jul 25, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In 2015 the first artificial system has been reported to beat human performance on ImageNet visual recognition, with Top-5 error rate below 5%. This has not happened with video yet, for example, the best-ranked entry in the […]

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[Jul 10th 2019] LabMeeting: ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information

Giorgio Ciano (DIISM, University of Siena) Jul 10, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Object detection in wide area motion imagery (WAMI) has drawn the attention of the computer vision research community for a number of years. WAMI proposes a number of unique challenges including extremely small object […]

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[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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LYRICS: integrating Logic and Deep Learning

LINK TO THE PAPER https://arxiv.org/abs/1903.07534 LINK TO THE REPO https://github.com/GiuseppeMarra/lyrics In spite of the amazing results obtained by deep learning in many applications, a real intelligent behavior of an agent acting in a complex environment is likely to require some kind of higher-level symbolic inference. Therefore, there is a clear need for the definition of 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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The Graph Neural Network framework

LINK https://sailab.diism.unisi.it/gnn/ Our research group introduced the Graph Neural Network (GNN), a connectionist model particularly suited for problems whose domain can be represented by a set of patterns and relationships between them. In those problems, a prediction about a given pattern can be carried out exploiting all the related information, which includes the pattern features, […]

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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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