| 2023 | ICML | Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. | Philipp Seidl, Andreu Vall, Sepp Hochreiter, Gnter Klambauer |
| 2018 | SAC | A hybrid approach to music playlist continuation based on playlist-song membership. | Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer |
| 2017 | RecSys | Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. | Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer |
| 2017 | RecSys | The Importance of Song Context in Music Playlists. | Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi |
| 2017 | SAC | How item discovery enabled by diversity leads to increased recommendation list attractiveness. | Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl |
| 2016 | RecSys | The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. | Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl |
| 2015 | RecSys | Listener-Inspired Automated Music Playlist Generation. | Andreu Vall |
| 2014 | SIGIR | User geospatial context for music recommendation in microblogs. | Markus Schedl, Andreu Vall, Katayoun Farrahi |