A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator. - Malte Lehna; Björn Hoppmann; René Heinrich; Christoph Scholz 001 (CoRR, 2021)

BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics. - Lukas Rauch; Raphael Schwinger; Moritz Wirth; René Heinrich; Jonas Lange; Stefan Kahl; Bernhard Sick; Sven Tomforde; Christoph Scholz 001 (CoRR, 2024)

AudioProtoPNet: An interpretable deep learning model for bird sound classification. - René Heinrich; Bernhard Sick; Christoph Scholz 001 (CoRR, 2024)

Targeted adversarial attacks on wind power forecasts. - René Heinrich; Christoph Scholz 001; Stephan Vogt; Malte Lehna (Mach. Learn., 2024)

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 001 (ICLR, 2025)

AudioProtoPNet: An interpretable deep learning model for bird sound classification. - René Heinrich; Lukas Rauch; Bernhard Sick; Christoph Scholz 001 (Ecol. Informatics, 2025)

Can Masked Autoencoders Also Listen to Birds? - Lukas Rauch; Ilyass Moummad; René Heinrich; Alexis Joly; Bernhard Sick; Christoph Scholz 001 (CoRR, 2025)

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics. - René Heinrich; Lukas Rauch; Bernhard Sick; Christoph Scholz 001 (CoRR, 2025)