Staff

AIHE-M | 1. WS 2026 | Language-Centric AI Methods | IL
AISE-M | 1. WS 2026 | Data Science | IL
AISE-M | 3. WS 2026 | EC: Natural Language Processing | IL
AITB-M | 3. WS 2026 | Applied AI Lab | LB
AITB-M | 3. WS 2026 | Language Technologies & Applications | IL
AITB-M | 3. WS 2026 | Project 2 | PT

• DaSuMa: Data-Driven Supply Chain Management
  The supply chains in the pharmaceutical industry are facing increasing complexity due to the steadily rising product and market dynamics. This...
  03/2022 - 12/2023
• IDA: Intelligent Data Analytics Lab
  The IDA Lab Salzburg is a competence center for fundamental and applied research, as well as for knowledge and technology transfer in the fields of...
  06/2020 - 09/2023
• DataKMU: Networking and Knowledge Transfer in the Field of Data Science
  The goal of this cross-border initiative is to establish a collaboration among research institutions in the specialized field of data science and,...
  05/2019 - 09/2021

• Chatbots an physischen Touchpoints
  2023
• Benefits from Variational Regularization in Language Models
  Representations from common pre-trained language models have been shown to suffer from the degeneration problem, i.e., they occupy a narrow cone in latent space. This problem can be addressed by...
  2022
• Captioning Bosch: A Twitter Bot
  The artworks by Dutch painter Hieronymus Bosch are well known for their incredible wealth of details. The popular BoschBot regularly posts small segments of the digitized paintings on Twitter, thus...
  2022