by Anja Glusic | May 22, 2025 | AI@JSI Seminar Upcoming
I will discuss reliability of Machine Learning (ML) algorithms, from the perspective of adversarial learning and its implications in terms of model quality and robustness given new data. The talk will highlight how adversarial learning can be used as a valuable tool...
by Anja Glusic | Mar 7, 2025 | AI@JSI Seminar
Uniformly distributed point sets of low discrepancy are heavily used in experimental design and across a very wide range of applications such as numerical integration, computer graphics, and finance. Recent methods based on Graph Neural Networks [Rusch et al., PNAS...
by Anja Glusic | Jan 14, 2025 | AI@JSI Seminar
Panoptic segmentation provides a comprehensive understanding of visual scenes by assigning each pixel a semantic class label and, for objects, an instance ID. While highly effective, traditional methods rely heavily on large-scale annotated datasets, posing...
by Anja Glusic | Dec 2, 2024 | AI@JSI Seminar
Automated machine learning has been successful in supporting data scientists in selecting appropriate machine learning architectures, as well as optimizing hyperparameters. By doing so, data scientists can focus their attention on more important tasks. Partially...
by Anja Glusic | Nov 19, 2024 | AI@JSI Seminar
Metaheuristics, such as evolutionary algorithms, ant colony optimization, and particle swarm optimization, are among the most successful techniques for solving complex optimization problems. Historically, the design of metaheuristic algorithms has been a manual...
