Lukas Schott
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | 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 |
| 2022 | ICLR | Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. | Lukas Schott, Julius von Kgelgen, Frederik Truble, Peter Vincent Gehler, Chris Russell, Matthias Bethge, Bernhard Schlkopf, Francesco Locatello, Wieland Brendel |
| 2021 | ICLR | 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 |
| 2020 | ECCV | 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 |
| 2019 | ICLR | Towards the first adversarially robust neural network model on MNIST. | Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel |
| 2017 | ICASSP | Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction. | Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah |
| 2017 | ICCV | Learned Watershed: End-to-End Learning of Seeded Segmentation. | Steffen Wolf, Lukas Schott, Ullrich Kthe, Fred A. Hamprecht |