4 documents

  • Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, et al.. Winner-takes-all learners are geometry-aware conditional density estimators. International Conference on Machine Learning, Jul 2024, Vienne (Autriche), Austria. ⟨hal-04574640⟩
  • Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, et al.. Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. Advances in neural information processing systems, Dec 2023, New Orleans, United States. ⟨hal-04216055⟩
  • Florian Angulo, Slim Essid, Geoffroy Peeters, Christophe Mietlicki. Cosmopolite Sound Monitoring (CoSMo): A Study of Urban Sound Event Detection Systems Generalizing to Multiple Cities. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10095833⟩. ⟨hal-04093374⟩
  • Geoffroy Peeters, Florian Angulo. SSM-NET: FEATURE LEARNING FOR MUSIC STRUCTURE ANALYSIS USING A SELF-SIMILARITY-MATRIX BASED LOSS. Late-Breaking/Demo Session of ISMIR (International Society for Music Infor- mation Retrieval), Dec 2022, Bengalore, India. ⟨hal-03860497⟩