Dmitry Kobak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Top Venues

J. Mach. Learn. Res.

Publications

Dmitry Kobak, Rita González-Márquez, Emoke-Ágnes Horvát, Jan Lause
Delving into ChatGPT usage in academic writing through excess vocabulary. CoRR (2024)
Ifeoma Veronica Nwabufo, Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
Self-supervised Visualisation of Medical Image Datasets. CoRR (2024)
Rita González-Márquez, Dmitry Kobak
Learning representations of learning representations. CoRR (2024)
Rita González-Márquez, Philipp Berens, Dmitry Kobak
Meet the authors: Rita González-Márquez, Philipp Berens, and Dmitry Kobak. Patterns 5 (6) (2024)
Rita González-Márquez, Luca Schmidt, Benjamin M. Schmidt, Philipp Berens, Dmitry Kobak
The landscape of biomedical research. Patterns 5 (6) (2024)
Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak
From $t$-SNE to UMAP with contrastive learning. ICLR (2023)
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
Unsupervised visualization of image datasets using contrastive learning. ICLR (2023)
Sebastian Damrich, Philipp Berens, Dmitry Kobak
Persistent homology for high-dimensional data based on spectral methods. CoRR (2023)
Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak
Contrastive learning unifies t-SNE and UMAP. CoRR (2022)
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
Attraction-Repulsion Spectrum in Neighbor Embeddings. J. Mach. Learn. Res. 23 (2022)
Fynn Bachmann, Philipp Hennig, Dmitry Kobak
Wasserstein t-SNE. CoRR (2022)
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
Unsupervised visualization of image datasets using contrastive learning. CoRR (2022)
Rita González-Márquez, Philipp Berens, Dmitry Kobak
Two-dimensional visualization of large document libraries using t-SNE. TAG-ML (2022)
Gaik Tamazian, Andrey B. Komissarov, Dmitry Kobak, Dmitry Polyakov, Evgeny Andronov, Sergei Nechaev, Sergey Kryzhevich, Yuri Porozov, Eugene Stepanov
t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution. ISBRA (2022)
Fynn Bachmann, Philipp Hennig, Dmitry Kobak
Wasserstein t-SNE. ECML/PKDD (1) (2022)
Indu Ilanchezian, Dmitry Kobak, Hanna Faber, Focke Ziemssen, Philipp Berens, Murat Seçkin Ayhan
Interpretable Gender Classification from Retinal Fundus Images Using BagNets. MICCAI (3) (2021)
Yves Bernaerts, Philipp Berens, Dmitry Kobak
Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data. CoRR (2020)
Dmitry Kobak, Jonathan Lomond, Benoit Sanchez
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization. J. Mach. Learn. Res. 21 (2020)
Sophie Laturnus, Dmitry Kobak, Philipp Berens
A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination. Neuroinformatics 18 (4) (2020)
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum. CoRR (2020)
Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations. CoRR (2019)
Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens
Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations. ECML/PKDD (1) (2019)