David Penz

According to our database, David Penz authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Making LLMs Reason? The Intermediate Language Problem in Neurosymbolic Approaches.

Alexander Beiser, David Penz

CoRR, February, 2025

Maximally Expressive GNNs for Outerplanar Graphs.

Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Morten Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen

Trans. Mach. Learn. Res., 2025

Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation.

David Penz, Gustavo Junior Escobedo Ticona, Markus Schedl

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization.

Gustavo Escobedo, David Penz, Markus Schedl

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning.

Alexander Beiser, Nysret Musliu, David Penz

Proceedings of the Joint Proceedings of Posters, 2025

2023

Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation.

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

Int. J. Multim. Inf. Retr., June, 2023

2022

Unlearning Protected User Attributes in Recommendations with Adversarial Training.

Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

EmoMTB: Emotion-aware Music Tower Blocks.

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis.

Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021

Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features.

Alexander Krauck, David Penz, Markus Schedl

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021