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ORCIDLukas Rauch
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2020 – today
- 2025
[j3]René Heinrich, Lukas Rauch
, Bernhard Sick, Christoph Scholz:
AudioProtoPNet: An interpretable deep learning model for bird sound classification. Ecol. Informatics 87: 103081 (2025)- [j2]Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz:
Can Masked Autoencoders Also Listen to Birds? Trans. Mach. Learn. Res. 2025 (2025) - [c9]Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz:
BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics. ICLR 2025 - [c8]Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick:
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations. ECML/PKDD (2) 2025: 20-35 - [i14]Lukas Rauch, Thomas Braml:
Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes. CoRR abs/2502.14721 (2025) - [i13]Lukas Rauch, Ilyass Moummad, René Heinrich, Alexis Joly, Bernhard Sick, Christoph Scholz:
Can Masked Autoencoders Also Listen to Birds? CoRR abs/2504.12880 (2025) - [i12]Lukas Rauch, Moritz Wirth, Denis Huseljic, Marek Herde, Bernhard Sick, Matthias Aßenmacher:
No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success. CoRR abs/2506.01992 (2025) - [i11]René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz:
Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics. CoRR abs/2507.13727 (2025) - [i10]Raphael Schwinger, Paria Vali Zadeh, Lukas Rauch, Mats Kurz, Tom Hauschild, Sam Lapp, Sven Tomforde:
Foundation Models for Bioacoustics - a Comparative Review. CoRR abs/2508.01277 (2025) - [i9]Ilyass Moummad, Kawtar Zaher, Lukas Rauch, Alexis Joly:
Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models. CoRR abs/2509.14427 (2025) - [i8]Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz:
Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification. CoRR abs/2509.24901 (2025) - 2024
- [j1]Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick:
The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz:
Towards Deep Active Learning in Avian Bioacoustics. IAL@PKDD/ECML 2024: 12-17 - [c6]Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick:
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. NeurIPS 2024 - [c5]Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick:
Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification. ECML/PKDD (7) 2024: 280-296 - [d2]Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick:
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. Version 1. Zenodo, 2024 [all versions]
- [d1]Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick:
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. Version 2. Zenodo, 2024 [all versions] - [i7]Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz:
BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics. CoRR abs/2403.10380 (2024) - [i6]Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick:
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification. CoRR abs/2404.08981 (2024) - [i5]Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz:
Towards Deep Active Learning in Avian Bioacoustics. CoRR abs/2406.18621 (2024) - [i4]Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick:
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. CoRR abs/2407.20950 (2024) - 2023
- [c4]Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick:
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. IAL@PKDD/ECML 2023: 65-73 - [c3]Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Query Strategies for Deep Active Design Optimization. ICMLA 2023: 1611-1618 - [c2]Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick:
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. ECML/PKDD (1) 2023: 55-74 - [i3]Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick:
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. CoRR abs/2306.10087 (2023) - [i2]Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization. CoRR abs/2307.04536 (2023) - [i1]Lukas Rauch, Raphael Schwinger, Moritz Wirth, Bernhard Sick, Sven Tomforde, Christoph Scholz:
Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers. CoRR abs/2308.07121 (2023) - 2022
- [c1]Lukas Rauch, Denis Huseljic, Bernhard Sick:
Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources. IAL@PKDD/ECML 2022: 27-42
Coauthor Index
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last updated on 2025-11-04 00:41 CET by the dblp team
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