This page contains automatically translated content.

Pu­bli­ca­ti­ons

  • Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification.Rauch, Lukas; Heinrich, René; Ghaffari, Houtan; Miklautz, Lukas; Moummad, Ilyass; Sick, Bernhard; Scholz, Christoph. In International Conference on Learning Representations (ICLR). 2026.
    • Can Masked Autoencoders Also Listen to Birds?Rauch, Lukas; Heinrich, René; Moummad, Ilyass; Joly, Alexis; Sick, Bernhard; Scholz, Christoph. In Transactions on Machine Learning Research. 2025.
      • AudioProtoPNet: An interpretable deep learning model for bird sound classification.Heinrich, René; Rauch, Lukas; Sick, Bernhard; Scholz, Christoph. In Ecological Informatics, 87, bl. 103081. Elsevier, 2025.
        • BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics.Rauch, Lukas; Schwinger, Raphael; Wirth, Moritz; Heinrich, René; Huselji, Denis; Herde, Marek; Lange, Jonas; Kahl, Stefan; Sick, Bernhard; Tomforde, Sven; Scholz, Christoph. In International Conference on Learning Representations (ICLR). 2025.
          • Targeted Adversarial Attacks on Wind Power Forecasts.Heinrich, René; Scholz, Christoph; Vogt, Stephan; Lehna, Malte. In Machine Learning, 113(2), ble. 863–889. Springer, 2023.