| Flexibly fair representation learning by disentanglement E Creager, D Madras, JH Jacobsen, M Weis, K Swersky, T Pitassi, ... International Conference on Machine Learning, 1436-1445, 2019 | 407 | 2019 |
| Diverse feature visualizations reveal invariances in early layers of deep neural networks SA Cadena, MA Weis, LA Gatys, M Bethge, AS Ecker Proceedings of the European Conference on Computer Vision (ECCV), 217-232, 2018 | 32 | 2018 |
| Benchmarking unsupervised object representations for video sequences MA Weis, K Chitta, Y Sharma, W Brendel, M Bethge, A Geiger, AS Ecker Journal of Machine Learning Research 22 (183), 1-61, 2021 | 23 | 2021 |
| Neuroprotection and endocytosis: erythropoietin receptors in insect nervous systems N Miljus, B Massih, MA Weis, JV Rison, CB Bonnas, I Sillaber, ... Journal of neurochemistry 141 (1), 63-74, 2017 | 23 | 2017 |
| Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data D Kobak, Y Bernaerts, MA Weis, F Scala, AS Tolias, P Berens Journal of the Royal Statistical Society Series C 70 (4), 980-1000, 2021 | 19 | 2021 |
| Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences MA Weis, K Chitta, Y Sharma, W Brendel, M Bethge, A Geiger, AS Ecker arXiv preprint arXiv:2006.07034, 2020 | 17 | 2020 |
| Sparse reduced-rank regression for exploratory visualization of paired multivariate datasets D Kobak, Y Bernaerts, MA Weis, F Scala, A Tolias, P Berens Biorxiv, 302208, 2018 | 15* | 2018 |
| Self-Supervised Graph Representation Learning for Neuronal Morphologies MA Weis, L Pede, T Lüddecke, AS Ecker Transactions on Machine Learning Research, 2023 | 10* | 2023 |
| An unsupervised map of excitatory neurons’ dendritic morphology in the mouse visual cortex MA Weis, S Papadopoulos, L Hansel, T Lüddecke, B Celii, PG Fahey, ... bioRxiv, 2022.12. 22.521541, 2022 | 7* | 2022 |
| PriMAT: A robust multi-animal tracking model for primates in the wild R Vogg, M Nuske, MA Weis, T Lüddecke, E Karakoç, Z Ahmed, ... bioRxiv, 2024.08. 21.607881, 2024 | 1 | 2024 |
| MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions P Turishcheva, L Hansel, M Ritzert, MA Weis, AS Ecker arXiv preprint arXiv:2410.16124, 2024 | | 2024 |
| Foundation model of neural activity predicts response to new stimulus types and anatomy EY Wang, PG Fahey, Z Ding, S Papadopoulos, K Ponder, M Weis, Chang, ... bioRxiv, 2024 | | 2024 |
| Unsupervised Representation Learning for Object-Centric and Neuronal Morphology Modeling MA Weis Universität Tübingen, 2024 | | 2024 |
| MorphOcc: An Implicit Generative Model of Neuronal Morphologies L Hansel, T Lüddecke, MA Weis, AS Ecker | | 2023 |
| Class-agnostic Instance Segmentation with Foveated Image Sampling MA Weis Eberhard-Karls-Universität Tübingen, 2018 | | 2018 |
Alexander S. EckerUniversity of Göttingen, GermanyVerified email at cs.uni-goettingen.de
