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# DO NOT EDIT, GENERATED AUTOMATICALLY | ||
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- id: arXiv:2306.17638 | ||
title: Geometric Autoencoders -- What You See is What You Decode | ||
- id: doi:10.1063/5.0158275 | ||
title: 'KineticNet: Deep learning a transferable kinetic energy functional for orbital-free | ||
density functional theory' | ||
authors: | ||
- R. Remme | ||
- T. Kaczun | ||
- M. Scheurer | ||
- A. Dreuw | ||
- F. A. Hamprecht | ||
publisher: JCP | ||
date: '2023-10-13' | ||
link: https://doi.org/gs93pm | ||
image: images/publications/KineticNet.png | ||
plugin: sources.py | ||
file: sources-recent.yaml | ||
- id: url:https://dl.acm.org/doi/10.5555/3618408.3619483 | ||
title: 'Geometric autoencoders: what you see is what you decode' | ||
authors: | ||
- Philipp Nazari | ||
- Sebastian Damrich | ||
- Fred A. Hamprecht | ||
publisher: ICML | ||
date: '2023-07-03' | ||
date: '2023-07-23' | ||
link: https://dl.acm.org/doi/10.5555/3618408.3619483 | ||
category: recent | ||
image: images/publications/geometric-autoencoders.png | ||
plugin: sources.py | ||
file: sources.yaml | ||
- id: arXiv:2305.13316 | ||
title: 'KineticNet: Deep learning a transferable kinetic energy functional for orbital-free | ||
density functional theory' | ||
file: sources-recent.yaml | ||
- id: url:https://openreview.net/forum?id=B8a1FcY0vi | ||
title: From $t$-SNE to UMAP with contrastive learning | ||
authors: | ||
- Roman Remme | ||
- Tobias Kaczun | ||
- Maximilian Scheurer | ||
- Andreas Dreuw | ||
- Sebastian Damrich | ||
- "Niklas B\xF6hm" | ||
- Fred A. Hamprecht | ||
publisher: JCP | ||
date: '2023-10-25' | ||
link: https://doi.org/gs93pm | ||
category: recent | ||
- Dmitry Kobak | ||
publisher: ICLR | ||
date: '2023-02-01' | ||
link: https://openreview.net/forum?id=B8a1FcY0vi | ||
image: images/publications/tSNE-to-UMAP.png | ||
plugin: sources.py | ||
file: sources.yaml | ||
- id: arXiv:2210.07702 | ||
file: sources-recent.yaml | ||
- id: url:https://proceedings.neurips.cc/paper_files/paper/2022/hash/0206c1c20a18915da23df5e61966fc6a-Abstract-Conference.html | ||
title: Theory and Approximate Solvers for Branched Optimal Transport with Multiple | ||
Sources | ||
authors: | ||
- Peter Lippmann | ||
- "Enrique Fita Sanmart\xEDn" | ||
- Fred A. Hamprecht | ||
publisher: NeurIPS | ||
date: '2022-10-17' | ||
date: '2022-12-06' | ||
link: https://proceedings.neurips.cc/paper_files/paper/2022/hash/0206c1c20a18915da23df5e61966fc6a-Abstract-Conference.html | ||
category: recent | ||
image: images/publications/branched-BOT.png | ||
plugin: sources.py | ||
file: sources.yaml | ||
- id: arXiv:2206.01816 | ||
title: From $t$-SNE to UMAP with contrastive learning | ||
authors: | ||
- Sebastian Damrich | ||
- "Jan Niklas B\xF6hm" | ||
- Fred A. Hamprecht | ||
- Dmitry Kobak | ||
publisher: ICLR | ||
date: '2023-03-01' | ||
link: https://arxiv.org/abs/2206.01816 | ||
category: recent | ||
plugin: sources.py | ||
file: sources.yaml | ||
file: sources-recent.yaml | ||
- id: url:https://proceedings.mlr.press/v162/sanmarti-n22a.html | ||
title: The Algebraic Path Problem for Graph Metrics | ||
authors: | ||
- "Enrique Fita Sanmart\xEDn" | ||
- "Enrique Fita Sanmart\u0131\u0301n" | ||
- Sebastian Damrich | ||
- Fred A. Hamprecht | ||
- Fred Hamprecht | ||
publisher: ICML | ||
date: '2022-07-17' | ||
date: '2022-06-28' | ||
link: https://proceedings.mlr.press/v162/sanmarti-n22a.html | ||
category: recent | ||
image: images/publications/algebraic-path-problem.png | ||
plugin: sources.py | ||
file: sources.yaml | ||
- id: arXiv:2103.14608 | ||
title: On UMAP's true loss function | ||
file: sources-recent.yaml | ||
- id: url:https://proceedings.neurips.cc/paper/2021/hash/2de5d16682c3c35007e4e92982f1a2ba-Abstract.html | ||
title: On UMAP' s True Loss Function | ||
authors: | ||
- Sebastian Damrich | ||
- Fred A. Hamprecht | ||
- Fred A Hamprecht | ||
publisher: NeurIPS | ||
date: '2021-04-23' | ||
date: '2021-01-01' | ||
link: https://proceedings.neurips.cc/paper/2021/hash/2de5d16682c3c35007e4e92982f1a2ba-Abstract.html | ||
category: recent | ||
image: images/publications/UMAP-loss.png | ||
plugin: sources.py | ||
file: sources-recent.yaml | ||
- id: doi:10.1109/TPAMI.2020.2980827 | ||
title: 'The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning' | ||
authors: | ||
- Steffen Wolf | ||
- Alberto Bailoni | ||
- Constantin Pape | ||
- Nasim Rahaman | ||
- Anna Kreshuk | ||
- Ullrich Kothe | ||
- Fred A. Hamprecht | ||
publisher: IEEE Transactions on Pattern Analysis and Machine Intelligence | ||
date: '2021-10-01' | ||
link: https://doi.org/gmv667 | ||
plugin: sources.py | ||
file: sources.yaml | ||
file: sources-highlights.yaml |
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- id: doi:10.1109/TPAMI.2020.2980827 |
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- id: doi:10.1063/5.0158275 | ||
publisher: JCP | ||
image: images/publications/KineticNet.png | ||
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- id: url:https://dl.acm.org/doi/10.5555/3618408.3619483 | ||
publisher: ICML | ||
image: images/publications/geometric-autoencoders.png | ||
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- id: url:https://openreview.net/forum?id=B8a1FcY0vi | ||
date: '2023-02-01' | ||
publisher: ICLR | ||
image: images/publications/tSNE-to-UMAP.png | ||
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- id: url:https://proceedings.neurips.cc/paper_files/paper/2022/hash/0206c1c20a18915da23df5e61966fc6a-Abstract-Conference.html | ||
publisher: NeurIPS | ||
image: images/publications/branched-BOT.png | ||
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- id: url:https://proceedings.mlr.press/v162/sanmarti-n22a.html | ||
publisher: ICML | ||
image: images/publications/algebraic-path-problem.png | ||
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- id: url:https://proceedings.neurips.cc/paper/2021/hash/2de5d16682c3c35007e4e92982f1a2ba-Abstract.html | ||
publisher: NeurIPS | ||
image: images/publications/UMAP-loss.png | ||
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