Lukas Schott

Researcher, Aleph Alpha

Joined

February 2018

Names

Lukas Schott

Emails

****@bethgelab.org (Confirmed)

****@de.bosch.com (Confirmed)

****@bosch.com (Confirmed)

****@aleph-alpha.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Aleph Alpha (aleph-alpha.com)

2025 – Present

Researcher

Research, Bosch (bosch.com)

2021 – 2025

PhD student

Eberhard-Karls-Universität Tübingen (uni-tuebingen.de)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisee

Wieland Brendel

2017 – 2021

PhD Advisor

Mathias Bethge

2017 – 2021

Expertise

LLM Pretraining data

2025 – Present

knowledge distillation

2021 – 2024

Publications

Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
Martin Bjerke, Lukas Schott, Kristopher T Jensen, Claudia Battistin, David A. Klindt, Benjamin Adric Dunn
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Vincent Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
- 2022 (modified: 11 Oct 2022)
- ICLR 2022
- Readers: Everyone
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
Martin Bjerke, Lukas Schott, Kristopher T. Jensen, Claudia Battistin, David A. Klindt, Benjamin A. Dunn
- 2022 (modified: 17 Apr 2023)
- CoRR 2022
- Readers: Everyone
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott, Julius Von Kügelgen, Frederik Träuble, Peter Vincent Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
Score-Based Generative Classifiers
Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin Adric Dunn, David A. Klindt
- Published: 08 Dec 2021, Last Modified: 04 May 2025
- DGMs and Applications @ NeurIPS 2021 Poster
- Readers: Everyone
Score-Based Generative Classifiers
Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt
- 2021 (modified: 27 Apr 2022)
- CoRR 2021
- Readers: Everyone
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter V. Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
- 2021 (modified: 16 May 2022)
- CoRR 2021
- Readers: Everyone
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton
- 2021 (modified: 28 May 2022)
- ICLR 2021
- Readers: Everyone
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan Paiton
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Oral
- Readers: Everyone
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
- 2020 (modified: 15 May 2025)
- CoRR 2020
- Readers: Everyone

View all 12 publications

Co-Authors

View all 26 co-authors