[Nov 21th 2018] LabMeeting: On confidence measures for deep learning in domain adaptation applications

Simone Bonechi (DIISM, University of Siena) Nov 21, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, Deep Neural Networks (DNNs) led to impressive results in a wide variety of machine learning tasks, tipically relying on the existence of a huge amount of supervised data. However, in many […]

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[Nov 14th 2018] LabMeeting: High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Paolo Andreini (DIISM, University of Siena) Nov 14, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this seminar a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs) will be presented. Conditional GANs have enabled a variety of applications, but […]

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[Oct 24th 2018] LabMeeting: Some Approaches to Learning of Logical Constraints

Francesco Giannini (DIISM, University of Siena) Oct 24, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description While learning from constraints is a main topic in artificial intelligence, the problem of learning constraints from exam- ples has received less attention. In this talk, we focus on constraints expressed by logical formulas […]

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[Oct 11th 2018] LabMeeting: Perfect Neuron Building

Alessandro Betti (DIISM, Universities of Florence and Siena) Oct 11, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large, Backpropagation (BP) is regarded as one of the most important neural computation algorithms at the basis of the impressive progress in machine learning, including the recent advances in deep […]

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[Oct 4th 2018] LabMeeting: On the notion of sparsity in neural networks

Vincenzo Laveglia (DIISM, Universities of Florence and Siena) Oct 4, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this preliminary work we try to formalize the notion of sparsity in neural networks defining an appropriate indicator that we call sparsity index (SI), and investigate how this indicator evolves during […]

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[ Sept 13th 2018] LabMeeting: Emotion recognition from audio

Lisa Graziani (DIISM, Universities of Florence and Siena) Sept 13, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Emotion recognition from audio is a widely studied topic, but is still very challenging because is not entirely clear which features are effective for the recognition task. Moreover voice features keep on […]

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[ Sept 6th 2018] LabMeeting: Adversarial Reprogramming of Neural Networks

Matteo Tiezzi (DIISM, University of Siena) Sept 6, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Adversarial examples are defined as “inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake”. Indeed, in the computer vision scenario it has been shown […]

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[Jul 23th 2018] On stochastic gradient descent, flatness and generalization – Seminar by Prof. Yoshua Bengio

Prof. Yoshua Bengio (University of Montreal, Department of Computer Science and Operations Research (DIRO) ) Jul 23, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The traditional Machine Learning picture is that optimization and generalization are neatly separated aspects. That makes theory easier to handle, separately, but unfortunately this is not the case. Stochastic […]

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