Dmitry Kobak

According to our database, Dmitry Kobak authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Self-supervised Visualisation of Medical Image Datasets.

Ifeoma Veronica Nwabufo, Jan Niklas Böhm, Philipp Berens, Dmitry Kobak

CoRR, 2024

2023

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

Sebastian Damrich, Philipp Berens, Dmitry Kobak

CoRR, 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

Unsupervised visualization of image datasets using contrastive learning.

Jan Niklas Böhm, Philipp Berens, Dmitry Kobak

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Attraction-Repulsion Spectrum in Neighbor Embeddings.

Jan Niklas Böhm, Philipp Berens, Dmitry Kobak

J. Mach. Learn. Res., 2022

Contrastive learning unifies t-SNE and UMAP.

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

CoRR, 2022

Two-dimensional visualization of large document libraries using t-SNE.

Rita González-Márquez, Philipp Berens, Dmitry Kobak

Proceedings of the Topological, 2022

Wasserstein t-SNE.

Fynn Bachmann, Philipp Hennig, Dmitry Kobak

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution.

Gaik Tamazian, Andrey B. Komissarov, Dmitry Kobak, Dmitry Polyakov, Evgeny Andronov, Sergei Nechaev, Sergey Kryzhevich, Yuri Porozov, Eugene Stepanov

Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

2021

Interpretable Gender Classification from Retinal Fundus Images Using BagNets.

Indu Ilanchezian, Dmitry Kobak, Hanna Faber, Focke Ziemssen, Philipp Berens, Murat Seçkin Ayhan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination.

Sophie Laturnus, Dmitry Kobak, Philipp Berens

Neuroinformatics, 2020

The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization.

Dmitry Kobak, Jonathan Lomond, Benoit Sanchez

J. Mach. Learn. Res., 2020

A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum.

Jan Niklas Böhm, Philipp Berens, Dmitry Kobak

CoRR, 2020

Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data.

Yves Bernaerts, Philipp Berens, Dmitry Kobak

CoRR, 2020

2019

Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations.

Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019