About Maurizio Filippone Maurizio Filippone Associate Professor, Statistics Bayesian Statistics Deep learning Gaussian processes KAUST Associate Professor of Statistics Maurizio Filippone’s primary research focus is Bayesian statistics to enable sound decision-making through uncertainty quantification in model parameters and predictions. His main research interests are in models based on deep learning and Gaussian processes. Events Presented Events Dec 1 - Dec 7, 2024 Improving Optimization of Likelihood-based Generative Models with One Line of Code Maurizio Filippone, Associate Professor, Statistics Dec 5, 12:00 - 13:00 B9, L2, R2325 Generative Models (GMs) have attracted considerable attention due to their tremendous success in various domains, such as computer vision where they are capable to generate impressive realistic-looking images. Nov 24 - Nov 30, 2024 Data Augmentation is Regularization Maurizio Filippone, Associate Professor, Statistics Nov 25, 12:00 - 13:00 B9, L2, R2325 Data augmentation is a popular technique to considerably improve training of neural networks in various applications, such as computer vision and language modeling.
Improving Optimization of Likelihood-based Generative Models with One Line of Code Maurizio Filippone, Associate Professor, Statistics Dec 5, 12:00 - 13:00 B9, L2, R2325 Generative Models (GMs) have attracted considerable attention due to their tremendous success in various domains, such as computer vision where they are capable to generate impressive realistic-looking images.
Data Augmentation is Regularization Maurizio Filippone, Associate Professor, Statistics Nov 25, 12:00 - 13:00 B9, L2, R2325 Data augmentation is a popular technique to considerably improve training of neural networks in various applications, such as computer vision and language modeling.
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