Wir laden herzlich zum Kolloquium von Lars Doorenbos ein!
Am 12. September, von 10:00 bis 11:00 Uhr, wird Lars Doorenbos, Doktorand an der Universität Bern (Schweiz), einen Research Talk (in englischer Sprache) halten.
Der Research Talk widmet sich dem Thema „Reliably Processing Unexpected and Ambiguous Images in Computer Vision“.
Abstract:
Artificial intelligence (AI) has gone beyond an academic curiosity and now has a real impact on everyday life. As the rapid advancements in AI continue, questions regarding the reliability of these systems become increasingly important. Handling uncertainty, in particular, is a crucial challenge for deploying these systems in real-world environments, as evaluating unexpected or ambiguous samples comes with few guarantees, and performance is typically poorer than expected. These shortcomings limit the usability of machine learning in safety-critical applications. In this talk, I will focus on two aspects of handling uncertainty. First, I will present our research on out-of-distribution detection through the lens of data invariants, which can filter out unexpected samples with high epistemic uncertainty. Second, I will show our work on aleatoric uncertainty modeling with categorical diffusion models, which are capable of representing the inherent ambiguity present in images. Together, these techniques allow for a comprehensive view of uncertainty, facilitating the development of reliable, real-world machine learning systems.
Die Veranstaltung ist kostenfrei. Interessierte sind herzlich eingeladen, teilzunehmen!