The Knowledge Technology group at the University of Hamburg is holding the seminar “Explainability and Robot Learning”, promoted by the Horizon Europe project TERAIS. The seminar will bring together several international senior academics as well as younger researchers. During the seminar, multiple topics related to machine learning methods, robotic learning, and computer vision will be presented and discussed. The main audience of the seminar will be the project and scientific staff of the three partner institutes as well as M.Sc. and Ph.D. students. The seminar will take place in presence, with a hybrid mode for wider communication and dissemination.
|14:00||Introduction / Overview||Prof. Dr. Stefan Wermter||UHAM|
|14:15||The Sensory-motor Bases of Interaction||Dr. Alessandra Sciutti||IIT|
|14:45||Bio-plausible Learning in ANN||Dr. Kristína Malinovská||UKBA|
|15:15||Integrating AI Methods for Robot’s One-shot Learning||Dr. Andrej Lúčny||UKBA|
|15:45||Evolutionary View on Robot Learning||Dr. Pavel Petrovič||UKBA|
|16:45||Explainability and Interpretability of Deep Neural Networks||Štefan Pócoš||UKBA|
|17:00||Adversarial Examples in Deep Learning||Iveta Bečková||UKBA|
|17:15||3D Object Detection||Dr. Viktor Kocur||UKBA|
|17:30||Depth Map Super-Resolution for Robotic Vision||Lukáš Gajdošech||UKBA|
See also the seminar page at the University of Hamburg website.