Lukas Rauch

32 papers A* 2C 1Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Audio-to-Image Bird Species Retrieval without Audio-Image Pairs via Text Distillation.
CoRR
Ilyass Moummad, Marius Miron, Lukas Rauch, David Robinson, Alexis Joly, Olivier Pietquin, Emmanuel Chemla, Matthieu Geist
2026 J jnl
BAT: Better Audio Transformer Guided by Convex Gated Probing.
CoRR
Houtan Ghaffari, Lukas Rauch, Christoph Scholz, Paul Devos
2026 — conf
Uncertainty Calibration of Multi-Label Bird Sound Classifiers.
ICAART (5)
Raphael Schwinger, Ben McEwen, Vincent S. Kather, René Heinrich, Lukas Rauch, Sven Tomforde
2025 J jnl
Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics.
CoRR
René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz
2025 J jnl
AudioProtoPNet: An interpretable deep learning model for bird sound classification.
Ecol. Informatics
René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz
2025 A* conf
BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics.
ICLR
Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz
2025 J jnl
Can Masked Autoencoders Also Listen to Birds?
CoRR
Lukas Rauch, Ilyass Moummad, René Heinrich, Alexis Joly, Bernhard Sick, Christoph Scholz
2025 J jnl
Can Masked Autoencoders Also Listen to Birds?
Trans. Mach. Learn. Res.
Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz
2025 J jnl
Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning.
CoRR
Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Bernhard Sick
2025 J jnl
Data-Efficient Self-Supervised Algorithms for Fine-Grained Birdsong Analysis.
CoRR
Houtan Ghaffari, Lukas Rauch, Paul Devos
2025 — conf
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations.
ECML/PKDD (2)
Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick
2025 J jnl
Foundation Models for Bioacoustics - a Comparative Review.
CoRR
Raphael Schwinger, Paria Vali Zadeh, Lukas Rauch, Mats Kurz, Tom Hauschild, Sam Lapp, Sven Tomforde
2025 J jnl
Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models.
CoRR
Ilyass Moummad, Kawtar Zaher, Lukas Rauch, Alexis Joly
2025 J jnl
Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes.
CoRR
Lukas Rauch, Thomas Braml
2025 J jnl
No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success.
CoRR
Lukas Rauch, Moritz Wirth, Denis Huseljic, Marek Herde, Bernhard Sick, Matthias Aßenmacher
2025 J jnl
Uncertainty Calibration of Multi-Label Bird Sound Classifiers.
CoRR
Raphael Schwinger, Ben McEwen, Vincent S. Kather, René Heinrich, Lukas Rauch, Sven Tomforde
2025 J jnl
Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification.
CoRR
Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz
2024 J jnl
BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics.
CoRR
Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz
2024 J jnl
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification.
CoRR
Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick
2024 — conf
Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification.
ECML/PKDD (7)
Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick
2024 J jnl
The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification.
Trans. Mach. Learn. Res.
Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick
2024 — conf
Towards Deep Active Learning in Avian Bioacoustics.
IAL@PKDD/ECML
Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz
2024 J jnl
Towards Deep Active Learning in Avian Bioacoustics.
CoRR
Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz
2024 A* conf
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans.
NeurIPS
Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick
2024 J jnl
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans.
CoRR
Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick
2023 J jnl
Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers.
CoRR
Lukas Rauch, Raphael Schwinger, Moritz Wirth, Bernhard Sick, Sven Tomforde, Christoph Scholz
2023 — conf
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.
ECML/PKDD (1)
Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
2023 J jnl
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.
CoRR
Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
2023 C conf
DADO - Low-Cost Query Strategies for Deep Active Design Optimization.
ICMLA
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023 J jnl
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization.
CoRR
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023 — conf
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering.
IAL@PKDD/ECML
Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
2022 — conf
Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources.
IAL@PKDD/ECML
Lukas Rauch, Denis Huseljic, Bernhard Sick