Lukas Rauch

According to our database, Lukas Rauch authored at least 28 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

BAT: Better Audio Transformer Guided by Convex Gated Probing.

Houtan Ghaffari, Lukas Rauch, Christoph Scholz, Paul Devos

CoRR, February, 2026

Audio-to-Image Bird Species Retrieval without Audio-Image Pairs via Text Distillation.

Ilyass Moummad, Marius Miron, Lukas Rauch, David Robinson, Alexis Joly, Olivier Pietquin, Emmanuel Chemla, Matthieu Geist

CoRR, February, 2026

Uncertainty Calibration of Multi-Label Bird Sound Classifiers.

Raphael Schwinger, Ben McEwen, Vincent S. Kather, René Heinrich, Lukas Rauch, Sven Tomforde

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025

Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning.

Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Bernhard Sick

CoRR, November, 2025

Data-Efficient Self-Supervised Algorithms for Fine-Grained Birdsong Analysis.

Houtan Ghaffari, Lukas Rauch, Paul Devos

CoRR, November, 2025

Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification.

Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz

CoRR, September, 2025

Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models.

Ilyass Moummad, Kawtar Zaher, Lukas Rauch, Alexis Joly

CoRR, September, 2025

Foundation Models for Bioacoustics - a Comparative Review.

Raphael Schwinger, Paria Vali Zadeh, Lukas Rauch, Mats Kurz, Tom Hauschild, Sam Lapp, Sven Tomforde

CoRR, August, 2025

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics.

René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz

CoRR, July, 2025

No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success.

Lukas Rauch, Moritz Wirth, Denis Huseljic, Marek Herde, Bernhard Sick, Matthias Aßenmacher

CoRR, June, 2025

Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes.

Lukas Rauch, Thomas Braml

CoRR, February, 2025

Can Masked Autoencoders Also Listen to Birds?

Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz

Trans. Mach. Learn. Res., 2025

AudioProtoPNet: An interpretable deep learning model for bird sound classification.

René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz

Ecol. Informatics, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans.

Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

Dataset, October, 2024

dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans.

Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

Dataset, June, 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

Trans. Mach. Learn. Res., 2024

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

CoRR, 2024

Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification.

Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans.

Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Deep Active Learning in Avian Bioacoustics.

Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

2023

Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers.

Lukas Rauch, Raphael Schwinger, Moritz Wirth, Bernhard Sick, Sven Tomforde, Christoph Scholz

CoRR, 2023

DADO - Low-Cost Selection Strategies for Deep Active Design Optimization.

Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick

CoRR, 2023

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.

Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

DADO - Low-Cost Query Strategies for Deep Active Design Optimization.

Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick

Proceedings of the International Conference on Machine Learning and Applications, 2023

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering.

Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

2022

Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources.

Lukas Rauch, Denis Huseljic, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022