Dmitry Kobak

Dmitry Kobak

Eberhard Karls Universität Tübingen

H-index: 21

Europe-Germany

About Dmitry Kobak

Dmitry Kobak, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at Eberhard Karls Universität Tübingen, specializes in the field of Machine Learning, Unsupervised Learning, Manifold learning, Transcriptomics, Computational Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning representations of learning representations

Self-supervised Visualisation of Medical Image Datasets

Visualizing single-cell data with the neighbor embedding spectrum

The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense

Graph layouts and graph contrastive learning via neighbour embeddings

Compound models and Pearson residuals for normalization of single-cell RNA-seq data without UMIs

The landscape of biomedical research

Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types

Dmitry Kobak Information

University

Position

___

Citations(all)

3745

Citations(since 2020)

3509

Cited By

891

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

28

i10Index(since 2020)

27

Email

University Profile Page

Eberhard Karls Universität Tübingen

Google Scholar

View Google Scholar Profile

Dmitry Kobak Skills & Research Interests

Machine Learning

Unsupervised Learning

Manifold learning

Transcriptomics

Computational Neuroscience

Top articles of Dmitry Kobak

Title

Journal

Author(s)

Publication Date

Learning representations of learning representations

arXiv preprint arXiv:2404.08403

Rita González-Márquez

Dmitry Kobak

2024/4/12

Self-supervised Visualisation of Medical Image Datasets

arXiv preprint arXiv:2402.14566

Ifeoma Veronica Nwabufo

Jan Niklas Böhm

Philipp Berens

Dmitry Kobak

2024/2/22

Visualizing single-cell data with the neighbor embedding spectrum

bioRxiv

Sebastian Damrich

Manuel V Klockow

Philipp Berens

Fred A Hamprecht

Dmitry Kobak

2024

The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense

bioRxiv

Jan Lause

Dmitry Kobak

Philipp Berens

2024

Graph layouts and graph contrastive learning via neighbour embeddings

Marius Keute

Alica Leonie Guzmán

Dmitry Kobak

2023/10/13

Compound models and Pearson residuals for normalization of single-cell RNA-seq data without UMIs

bioRxiv

Jan Lause

Christoph Ziegenhain

Leonard Hartmanis

Philipp Berens

Dmitry Kobak

2023/8/5

The landscape of biomedical research

bioRxiv

Rita González-Márquez

Luca Schmidt

Benjamin M Schmidt

Philipp Berens

Dmitry Kobak

2023/4/11

Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types

Jakob H Macke

Philipp Berens

Dimitry Kobak

Andreas S Tolias

Federico Scala

...

2023/3/2

War fatalities in Russia in 2022 estimated via excess male mortality

Retrieved from osf. io/preprints/socarxiv/xcrme

Dmitry Kobak

Alexey Bessudnov

Alexander Ershov

Tatiana Mikhailova

Alexey Raksha

2023/11/19

Persistent homology for high-dimensional data based on spectral methods

arXiv preprint arXiv:2311.03087

Sebastian Damrich

Philipp Berens

Dmitry Kobak

2023/11/6

Distinct organization of two cortico-cortical feedback pathways

Nature communications

Shan Shen

Xiaolong Jiang

Federico Scala

Jiakun Fu

Paul Fahey

...

2022/10/27

Motor skill learning decreases movement variability and increases planning horizon

Journal of Neurophysiology

Luke Bashford

Dmitry Kobak

Jörn Diedrichsen

Carsten Mehring

2022/4/1

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

Rita González-Márquez

Philipp Berens

Dmitry Kobak

2022/3/2

Unsupervised visualization of image datasets using contrastive learning

arXiv preprint arXiv:2210.09879

Jan Niklas Böhm

Philipp Berens

Dmitry Kobak

2022/10/18

Attraction-repulsion spectrum in neighbor embeddings

Journal of Machine Learning Research

Jan Niklas Böhm

Philipp Berens

Dmitry Kobak

2022

Wasserstein t-SNE

Fynn Bachmann

Philipp Hennig

Dmitry Kobak

2022/9/19

From -SNE to UMAP with contrastive learning

arXiv preprint arXiv:2206.01816

Sebastian Damrich

Jan Niklas Böhm

Fred A Hamprecht

Dmitry Kobak

2022/6/3

Underdispersion: A statistical anomaly in reported Covid data

Significance

Dmitry Kobak

2022/4

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

...

2022/11/14

Initialization is critical for preserving global data structure in both t-SNE and UMAP

Nature Biotechnology

Dmitry Kobak

George C Linderman

2021/2

See List of Professors in Dmitry Kobak University(Eberhard Karls Universität Tübingen)

Co-Authors

H-index: 68
ranulfo romo

ranulfo romo

Universidad Nacional Autónoma de México

H-index: 62
Rickard Sandberg

Rickard Sandberg

Karolinska Institutet

H-index: 61
Andreas Tolias

Andreas Tolias

Baylor College of Medicine

H-index: 50
Naoshige Uchida

Naoshige Uchida

Harvard University

H-index: 47
Maxim S. Pshenichnikov

Maxim S. Pshenichnikov

Rijksuniversiteit Groningen

H-index: 40
Philipp Berens

Philipp Berens

Eberhard Karls Universität Tübingen

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