| DISCO-10M: A Large-Scale Music Dataset LA Lanzendörfer, F Grötschla, E Funke, R Wattenhofer Advances in Neural Information Processing Systems 36, 2024 | 14 | 2024 |
| Snac: Multi-scale neural audio codec H Siuzdak, F Grötschla, LA Lanzendörfer arXiv preprint arXiv:2410.14411, 2024 | 13 | 2024 |
| Siamese SIREN: Audio Compression with Implicit Neural Representations LA Lanzendörfer, R Wattenhofer ICML 2023 Neural Compression Workshop, 2023 | 10 | 2023 |
| An LLM-based Recommender System Environment N Corecco, G Piatti, LA Lanzendörfer, FX Fan, R Wattenhofer arXiv preprint arXiv:2406.01631, 2024 | 5* | 2024 |
| CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening HY Mak, FX Fan, LA Lanzendörfer, C Tan, WT Ooi, R Wattenhofer arXiv preprint arXiv:2403.20156, 2024 | 4 | 2024 |
| Cue Point Estimation using Object Detection G Argüello, LA Lanzendörfer, R Wattenhofer 25th International Society for Music Information Retrieval Conference, 2024 | 2 | 2024 |
| PUZZLES: A Benchmark for Neural Algorithmic Reasoning B Estermann, LA Lanzendörfer, Y Niedermayr, R Wattenhofer arXiv preprint arXiv:2407.00401, 2024 | 2* | 2024 |
| YOLO‑ing the visual question answering baseline LA Lanzendörfer, S Marcon, L Auf der Maur ETH Zurich, 2018 | 2 | 2018 |
| Examining the Emergence of Deductive Reasoning in Generative Language Models P Belcak, LA Lanzendörfer, R Wattenhofer Natural Language Reasoning and Structured Explanations Workshop @ ACL, 2023 | 1 | 2023 |
| High-Fidelity Music Vocoder using Neural Audio Codecs LA Lanzendörfer, F Grötschla, M Ungersböck, R Wattenhofer arXiv preprint arXiv:2502.12759, 2025 | | 2025 |
| AEye: A Visualization Tool for Image Datasets F Grötschla, LA Lanzendörfer, M Calzavara, R Wattenhofer 2024 IEEE Visualization and Visual Analytics (VIS), 281-285, 2024 | | 2024 |
| Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks F Grötschla, L Strässle, LA Lanzendörfer, R Wattenhofer arXiv preprint arXiv:2409.09026, 2024 | | 2024 |
| Benchmarking Music Generation Models and Metrics via Human Preference Studies F Grötschla, A Solak, LA Lanzendörfer, R Wattenhofer Workshop on AI-Driven Speech, Music, and Sound Generation (Audio Imagination …, 2024 | | 2024 |
| Audio Atlas: Visualizing and Exploring Audio Datasets LA Lanzendörfer, F Grötschla, U Valizada, R Wattenhofer 25th International Society for Music Information Retrieval Conference (ISMIR …, 2024 | | 2024 |
| Leveraging Pre-Trained LMs for Rapid and Accurate Structure Elucidation from 2D NMR Data S Di Vita, F Grötschla, LA Lanzendörfer, R Wattenhofer AI for Accelerated Materials Design Workshop (AI4Mat@ NeurIPS), 2024 | | 2024 |
| Coarse-to-Fine Text-to-Music Latent Diffusion LA Lanzendörfer, T Lu, N Perraudin, D Herremans, R Wattenhofer Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 2024 | | 2024 |
| Generating Vocals from Lyrics and Musical Accompaniment G Streich, LA Lanzendörfer, F Grötschla, R Wattenhofer Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 2024 | | 2024 |
| Contrastive Lyrics Alignment with a Timestamp-Informed Loss T Kick, F Grötschla, LA Lanzendörfer, R Wattenhofer Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 2024 | | 2024 |
| Benchmarking Music Generation Models and Metrics via Human Preference Studies A Solak, F Grötschla, LA Lanzendörfer, R Wattenhofer Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 2024 | | 2024 |
| BLAP: Bootstrapping Language-Audio Pre-training for Music Captioning LA Lanzendörfer, C Pinkl, N Perraudin, R Wattenhofer Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 2024 | | 2024 |
Roger WattenhoferETH ZurichE-mailová adresa ověřena na: ethz.ch
