Jan Niklas Böhm

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Node Embeddings via Neighbor Embeddings.
CoRR
Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak
2025 J jnl
Node Embeddings via Neighbor Embeddings.
Trans. Mach. Learn. Res.
Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak
2025 A* conf
On the Importance of Embedding Norms in Self-Supervised Learning.
ICML
Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J. Bekkers
2025 J jnl
On the Importance of Embedding Norms in Self-Supervised Learning.
CoRR
Andrew Draganov, Sharvaree P. Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J. Bekkers
2024 J jnl
Self-supervised Visualisation of Medical Image Datasets.
CoRR
Ifeoma Veronica Nwabufo, Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
2023 A* conf
From $t$-SNE to UMAP with contrastive learning.
ICLR
Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak
2023 A* conf
Unsupervised visualization of image datasets using contrastive learning.
ICLR
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
2022 J jnl
Attraction-Repulsion Spectrum in Neighbor Embeddings.
J. Mach. Learn. Res.
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
2022 J jnl
Contrastive learning unifies t-SNE and UMAP.
CoRR
Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak
2022 J jnl
Unsupervised visualization of image datasets using contrastive learning.
CoRR
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
2020 J jnl
A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum.
CoRR
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak