Schott, Lukas

11 publications

ICLRW 2025 Attention Is All You Need for Mixture-of-Depths Routing Advait Gadhikar, Souptik Kumar Majumdar, Niclas Popp, Piyapat Saranrittichai, Martin Rapp, Lukas Schott
ICLRW 2025 Foundation Model-Based Data Selection for Dense Prediction Tasks Niclas Popp, Dan Zhang, Jan Hendrik Metzen, Matthias Hein, Lukas Schott
NeurIPSW 2024 Investigating the Role of Fine-Tuning in Addressing the Gap Between Synthetic and Real Data in Generative Foundation Models Leonhard Hennicke, Christian Medeiros Adriano, Holger Giese, Lukas Schott, Jan Mathias Koehler
NeurIPSW 2024 Mind the Gap Between Synthetic and Real: Probing Transfer Capabilities of Stable Diffusion Images Leonhard Hennicke, Christian Medeiros Adriano, Holger Giese, Jan Mathias Koehler, Lukas Schott
ICLR 2023 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
ICLR 2022 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
NeurIPSW 2021 Score-Based Generative Classifiers Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin Adric Dunn, David A. Klindt
ICLR 2021 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
ECCV 2020 A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
ICLR 2019 Towards the First Adversarially Robust Neural Network Model on MNIST Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel
ICCV 2017 Learned Watershed: End-to-End Learning of Seeded Segmentation Steffen Wolf, Lukas Schott, Ullrich Kothe, Fred Hamprecht