| 2025 | ICASSP | Estimating Musical Surprisal in Audio. | Mathias Rose Bjare, Giorgia Cantisani, Stefan Lattner, Gerhard Widmer |
| 2025 | ICASSP | Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding. | Marco Pasini, Stefan Lattner, Gyrgy Fazekas |
| 2025 | ICASSP | Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures. | Alain Riou, Antonin Gagner, Gatan Hadjeres, Stefan Lattner, Geoffroy Peeters |
| 2025 | ICASSP | Hybrid Losses for Hierarchical Embedding Learning. | Haokun Tian, Stefan Lattner, Brian McFee, Charalampos Saitis |
| 2025 | TIME | Temporal Considerations in DJ Mix Information Retrieval and Generation (Short Paper). | Alexander J. Williams, Gregor Meehan, Stefan Lattner, Johan Pauwels, Mathieu Barthet |
| 2024 | ICASSP | Bass Accompaniment Generation Via Latent Diffusion. | Marco Pasini, Maarten Grachten, Stefan Lattner |
| 2024 | ICASSP | Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. | Alain Riou, Stefan Lattner, Gatan Hadjeres, Geoffroy Peeters |
| 2015 | CogSci | A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. | Kat Agres, Carlos Cancino, Maarten Grachten, Stefan Lattner |
| 2015 | IJCAI | Pseudo-Supervised Training Improves Unsupervised Melody Segmentation. | Stefan Lattner, Carlos Eduardo Cancino-Chacn, Maarten Grachten |