Giuseppe Alessio D’Inverno (University of Siena) When: Jun 8th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description 1-Lipschitz Neural Networks: a splines-based approach Lipschitz-constrained neural networks have many applications in machine learning. Since designing and training expressive Lipschitz-constrained networks is very challenging, there is a need for improved methods and a better […]
Read More »Lapo Faggi (University of Siena) When: Jun 1st, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Neural dynamic in temporal environments Learning in a continual manner is one of the main challenges that the machine learning community is currently facing. The importance of the problem can be readily understood as soon as […]
Read More »Enrico Meloni (University of Siena) When: May 25th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Pipeline Parallelism for Real-time Online Learning Deep Learning research has seen an ongoing increase in model complexity. It has been shown that scaling up network capacity is often an effective approach to enhance the performances of […]
Read More »Niccolò Pancino (University of Siena) When: May 18th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations Drug combination therapy has become an increasingly promising method in the treatment of cancer. However, the number of possible drug combinations is so […]
Read More »Federica Baccini (University of Siena) When: May 11th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description An introduction to higher order networks and simplicial complexes Network science aims to capture the complexity of a system by studying the interactions among its constituents. For overcoming the shortfall of standard network models, research is […]
Read More »Author: Lisa Graziani Date: May, 2021 Topics: Affective Computing, Learning from Constraints, Facial Expression Recognition, Text Emotion Recognition, Speech Emotion Recognition, Facial Expression Generation. Abstract Emotions have an important role in daily life, influence decision-making, human interaction, perception, attention, self-regulation. They have been studied since ancient times, philosophers have been always interested in analyzing human […]
Read More »Filippo Costanti (University of Siena) When: May 4th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description NMRNet: a deep learning approach to automated peak picking of protein NMR spectra Motivation: Automated selection of signals in protein NMR spectra, known as peak picking, has been studied for over 20 years, nevertheless existing peak […]
Read More »Barbara Toniella Corradini (University of Siena) When: Apr 13th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description How good is my GAN? Generative adversarial networks (GANs) are one of the most popular methods for generating images today. While impressive results have been validated by visual inspection, a number of quantitative criteria have […]
Read More »Michele Casoni(University of Siena) When: Apr 13th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Mixture models A well known problem in the unsupervised learning framework is how to approximate an empirical distribution by a probability density function. A way for approaching it is provided by Mixture Models. In these probabilistic models, […]
Read More »Elia Giuseppe Ceroni (University of Siena) When: Apr 6th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Swim: a computational tool to unveiling crucial nodes in complex biological networks. SWItchMiner (SWIM) is a wizard-like software implementation of a procedure[1] capable to extract information contained in complex networks, developed by Paci et al.[2].Specifically, […]
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