Sebastian Damrich

According to our database, Sebastian Damrich authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Discovering structure without labels.

Sebastian Damrich

PhD thesis, 2023

Persistent homology for high-dimensional data based on spectral methods.

Sebastian Damrich, Philipp Berens, Dmitry Kobak

CoRR, 2023

Geometric Autoencoders - What You See is What You Decode.

Philipp Nazari, Sebastian Damrich, Fred A. Hamprecht

Proceedings of the International Conference on Machine Learning, 2023

From $t$-SNE to UMAP with contrastive learning.

Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Contrastive learning unifies t-SNE and UMAP.

Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak

CoRR, 2022

The Algebraic Path Problem for Graph Metrics.

Enrique Fita Sanmartín, Sebastian Damrich, Fred A. Hamprecht

Proceedings of the International Conference on Machine Learning, 2022

2021

UMAP does not reproduce high-dimensional similarities due to negative sampling.

Sebastian Damrich, Fred A. Hamprecht

CoRR, 2021

Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder.

Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht

CoRR, 2021

Directed Probabilistic Watershed.

Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On UMAP's True Loss Function.

Sebastian Damrich, Fred A. Hamprecht

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multistar: Instance Segmentation Of Overlapping Objects With Star-Convex Polygons.

Florin C. Walter, Sebastian Damrich, Fred A. Hamprecht

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning.

Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019