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ORCIDEnrique Fita Sanmartin
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2020 – today
- 2024
[b1]Enrique Fita Sanmartin:
Exploring Graph Structures: Learning and Analysis. University of Heidelberg, Germany, 2024- [i5]Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht:
The Central Spanning Tree Problem. CoRR abs/2404.06447 (2024) - [i4]Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht:
Expectation and Variance of the Degree of a Node in Random Spanning Trees. CoRR abs/2409.13472 (2024) - 2022
- [c5]Enrique Fita Sanmartín, Sebastian Damrich, Fred A. Hamprecht:
The Algebraic Path Problem for Graph Metrics. ICML 2022: 19178-19204 - [c4]Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht:
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources. NeurIPS 2022 - [i3]Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht:
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources. CoRR abs/2210.07702 (2022) - 2021
- [c3]Erik Jenner, Enrique Fita Sanmartín, Fred A. Hamprecht:
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. ICCV 2021: 4582-4591 - [c2]Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht:
Directed Probabilistic Watershed. NeurIPS 2021: 20076-20088 - [i2]Erik Jenner, Enrique Fita Sanmartín, Fred A. Hamprecht:
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. CoRR abs/2110.02750 (2021)
2010 – 2019
- 2019
- [c1]Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht:
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning. NeurIPS 2019: 2776-2787 - [i1]Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht:
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning. CoRR abs/1911.02921 (2019)
Coauthor Index
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