default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDmitry Kobak
Person information
- affiliation: University of Tübingen, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j5]Rita González-Márquez, Luca Schmidt, Benjamin M. Schmidt, Philipp Berens, Dmitry Kobak
:
The landscape of biomedical research. Patterns 5(6): 100968 (2024)- [j4]Rita González-Márquez, Philipp Berens, Dmitry Kobak:
Meet the authors: Rita González-Márquez, Philipp Berens, and Dmitry Kobak. Patterns 5(6): 100993 (2024) - [c8]Samuel Greydanus, Dmitry Kobak:
Scaling Down Deep Learning with MNIST-1D. ICML 2024 - [i11]Ifeoma Veronica Nwabufo, Jan Niklas Böhm, Philipp Berens, Dmitry Kobak:
Self-supervised Visualisation of Medical Image Datasets. CoRR abs/2402.14566 (2024) - [i10]Rita González-Márquez, Dmitry Kobak:
Learning representations of learning representations. CoRR abs/2404.08403 (2024) - [i9]Dmitry Kobak, Rita González-Márquez, Emoke-Ágnes Horvát, Jan Lause:
Delving into ChatGPT usage in academic writing through excess vocabulary. CoRR abs/2406.07016 (2024) - [i8]Dmitry Kobak, Fred A. Hamprecht, Smita Krishnaswamy, Gal Mishne, Sebastian Damrich:
Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications (Dagstuhl Seminar 24122). Dagstuhl Reports 14(3): 92-115 (2024) - 2023
- [c7]Jan Niklas Böhm, Philipp Berens, Dmitry Kobak:
Unsupervised visualization of image datasets using contrastive learning. ICLR 2023 - [c6]Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak:
From $t$-SNE to UMAP with contrastive learning. ICLR 2023 - [i7]Sebastian Damrich, Philipp Berens, Dmitry Kobak:
Persistent homology for high-dimensional data based on spectral methods. CoRR abs/2311.03087 (2023) - 2022
- [j3]Jan Niklas Böhm, Philipp Berens, Dmitry Kobak:
Attraction-Repulsion Spectrum in Neighbor Embeddings. J. Mach. Learn. Res. 23: 95:1-95:32 (2022) - [c5]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: 255-262 - [c4]Fynn Bachmann, Philipp Hennig, Dmitry Kobak:
Wasserstein t-SNE. ECML/PKDD (1) 2022: 104-120 - [c3]Rita González-Márquez, Philipp Berens, Dmitry Kobak:
Two-dimensional visualization of large document libraries using t-SNE. TAG-ML 2022: 133-141 - [i6]Fynn Bachmann, Philipp Hennig, Dmitry Kobak:
Wasserstein t-SNE. CoRR abs/2205.07531 (2022) - [i5]Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak:
Contrastive learning unifies t-SNE and UMAP. CoRR abs/2206.01816 (2022) - [i4]Jan Niklas Böhm, Philipp Berens, Dmitry Kobak:
Unsupervised visualization of image datasets using contrastive learning. CoRR abs/2210.09879 (2022) - 2021
- [c2]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: 477-487 - 2020
- [j2]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: 169:1-169:16 (2020) - [j1]Sophie Laturnus, Dmitry Kobak, Philipp Berens:
A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination. Neuroinformatics 18(4): 591-609 (2020) - [i3]Yves Bernaerts, Philipp Berens, Dmitry Kobak:
Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data. CoRR abs/2006.10411 (2020) - [i2]Jan Niklas Böhm, Philipp Berens, Dmitry Kobak:
A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum. CoRR abs/2007.08902 (2020)
2010 – 2019
- 2019
- [c1]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: 124-139 - [i1]Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens:
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations. CoRR abs/1902.05804 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
