Rauch, Lukas

7 publications

ICLR 2025 BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz

TMLR 2025 Can Masked Autoencoders Also Listen to Birds? Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz

ECML-PKDD 2025 Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick

NeurIPS 2024 Dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

ECML-PKDD 2024 Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick

TMLR 2024 The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick

ECML-PKDD 2023 ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick