| On UMAP's True Loss Function S Damrich, FA Hamprecht Advances in Neural Information Processing Systems 34, 2021 | 37 | 2021 |
| From -SNE to UMAP with contrastive learning S Damrich, JN Böhm, FA Hamprecht, D Kobak arXiv preprint arXiv:2206.01816, 2022 | 21* | 2022 |
| Multistar: Instance segmentation of overlapping objects with star-convex polygons FC Walter, S Damrich, FA Hamprecht 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 295-298, 2021 | 15 | 2021 |
| Crowding in and crowding out within a contribution good model of research S Damrich, T Kealey, M Ricketts Research Policy 51 (1), 104400, 2022 | 10 | 2022 |
| Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning E Fita Sanmartin, S Damrich, FA Hamprecht Advances in Neural Information Processing Systems 32, 2019 | 5 | 2019 |
| Geometric Autoencoders--What You See is What You Decode P Nazari, S Damrich, FA Hamprecht arXiv preprint arXiv:2306.17638, 2023 | 3 | 2023 |
| Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder Q Garrido, S Damrich, A Jäger, D Cerletti, M Claassen, L Najman, ... Bioinformatics 38 (Supplement_1), i316-i324, 2022 | 3 | 2022 |
| The algebraic path problem for graph metrics EF Sanmartın, S Damrich, F Hamprecht International Conference on Machine Learning, 19178-19204, 2022 | 3 | 2022 |
| A model of parallel currencies under free floating exchange rates J Castañeda, S Damrich, P Schwartz Studies in Applied Economics Paper, John Hopkins University, 2020 | 3 | 2020 |
| Persistent homology for high-dimensional data based on spectral methods S Damrich, P Berens, D Kobak arXiv preprint arXiv:2311.03087, 2023 | 2 | 2023 |
| Directed probabilistic watershed E Fita Sanmartin, S Damrich, FA Hamprecht Advances in Neural Information Processing Systems 34, 20076-20088, 2021 | 2 | 2021 |
| Visualizing single-cell data with the neighbor embedding spectrum S Damrich, MV Klockow, P Berens, FA Hamprecht, D Kobak bioRxiv, 2024.04. 26.590867, 2024 | | 2024 |
| Discovering structure without labels S Damrich | | 2023 |
| Supplementary Material for NeurIPS 2019 Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning EF Sanmartín, S Damrich, FA Hamprecht | | |
