Sebastian Damrich

According to our database, Sebastian Damrich authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction.

Noël Kury, Dmitry Kobak, Sebastian Damrich

Trans. Mach. Learn. Res., 2026

2025

Low-dimensional embeddings of high-dimensional data.

Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak

CoRR, August, 2025

Node Embeddings via Neighbor Embeddings.

Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak

Trans. Mach. Learn. Res., 2025

TRACE: Contrastive learning for multi-trial time series data in neuroscience.

Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm, Yongrong Qiu, Na Zhou, Dmitry Kobak, Andreas S. Tolias, Fabian H. Sinz, Jacob Reimer, Katrin Franke, Sebastian Damrich, Philipp Berens

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

On the Importance of Embedding Norms in Self-Supervised Learning.

Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J. Bekkers

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications (Dagstuhl Seminar 24122).

Dmitry Kobak, Fred A. Hamprecht, Smita Krishnaswamy, Gal Mishne, Sebastian Damrich

Dagstuhl Reports, 2024

Persistent Homology for High-dimensional Data Based on Spectral Methods.

Sebastian Damrich, Philipp Berens, Dmitry Kobak

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Discovering structure without labels.

Sebastian Damrich

PhD thesis, 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

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

Bioinform., 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

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