David Penz, Gustavo Escobedo, Markus Schedl
Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Gustavo Escobedo, David Penz, Markus Schedl
Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
Emotion-aware Music Tower Blocks (EmoMTB): An Intelligent Audiovisual Interface for Music Discovery and Recommendation
International Journal of Multimedia Information Retrieval (IJMIR), 2023

Christian Ganhör, David Penz, Navid Rekab-saz, Oleg Lesota, Markus Schedl
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
EmoMTB: Emotion-aware Music Tower Blocks
Proceedings of the 2022 ACM International Conference on Multimedia Retrieval (ICMR), 2022