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pro vyhledávání: '"Szwagier, Tom"'
Autor:
Szwagier, Tom, Pennec, Xavier
This paper raises an important issue about the interpretation of principal component analysis. The curse of isotropy states that a covariance matrix with repeated eigenvalues yields rotation-invariant eigenvectors. In other words, principal component
Externí odkaz:
http://arxiv.org/abs/2307.15348
Autor:
Biton, Shany, Aldhafeeri, Mohsin, Marcusohn, Erez, Tsutsui, Kenta, Szwagier, Tom, Elias, Adi, Oster, Julien, Sellal, Jean Marc, Suleiman, Mahmoud, Behar, Joachim A.
To drive health innovation that meets the needs of all and democratize healthcare, there is a need to assess the generalization performance of deep learning (DL) algorithms across various distribution shifts to ensure that these algorithms are robust
Externí odkaz:
http://arxiv.org/abs/2207.09667
Autor:
Myers, Adele, Utpala, Saiteja, Talbar, Shubham, Sanborn, Sophia, Shewmake, Christian, Donnat, Claire, Mathe, Johan, Lupo, Umberto, Sonthalia, Rishi, Cui, Xinyue, Szwagier, Tom, Pignet, Arthur, Bergsson, Andri, Hauberg, Soren, Nielsen, Dmitriy, Sommer, Stefan, Klindt, David, Hermansen, Erik, Vaupel, Melvin, Dunn, Benjamin, Xiong, Jeffrey, Aharony, Noga, Pe'er, Itsik, Ambellan, Felix, Hanik, Martin, Nava-Yazdani, Esfandiar, von Tycowicz, Christoph, Miolane, Nina
This paper presents the computational challenge on differential geometry and topology that was hosted within the ICLR 2022 workshop ``Geometric and Topological Representation Learning". The competition asked participants to provide implementations of
Externí odkaz:
http://arxiv.org/abs/2206.09048
Autor:
Szwagier, Tom, Pennec, Xavier
Flags are sequences of nested linear subspaces of increasing dimension. They belong to smooth manifolds generalizing Grassmannians and bring a richer multi-scale point of view to the traditional subspace methods in statistical analysis. Hence, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ae7d910d0b34e9e7205a0122a8460423
https://inria.hal.science/hal-04100534/file/GSI-119.pdf
https://inria.hal.science/hal-04100534/file/GSI-119.pdf
Akademický článek
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Autor:
Myers, Adele, Utpala, Saiteja, Talbar, Shubham, Sanborn, Sophia, Shewmake, Christian, Donnat, Claire, Mathe, Johan, Lupo, Umberto, Sonthalia, Rishi, Cui, Xinyue, Szwagier, Tom, Pignet, Arthur, Bergsson, Andri, Hauberg, Soren, Nielsen, Dmitriy, Sommer, Stefan, Klindt, David, Hermansen, Erik, Vaupel, Melvin, Dunn, Benjamin, Xiong, Jeffrey, Aharony, Noga, Pe'Er, Itsik, Ambellan, Felix, Hanik, Martin, Nava-Yazdani, Esfandiar, von Tycowicz, Christoph, Miolane, Nina
Publikováno v:
Proceedings of Machine Learning Research
Proceedings of Machine Learning Research, 2022, Topological, Algebraic and Geometric Learning Workshops 2022, 196, pp.269-276. ⟨10.5281/zenodo.6554616⟩
Proceedings of Machine Learning Research, 2022, Topological, Algebraic and Geometric Learning Workshops 2022, 196, pp.269-276. ⟨10.5281/zenodo.6554616⟩
International audience; This paper presents the computational challenge on differential geometry and topology that was hosted within the ICLR 2022 workshop “Geometric and Topo- logical Representation Learning”. The competition asked participants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d20e248899540b2acfa94fe77e7c8457
https://hal.science/hal-03903044
https://hal.science/hal-03903044
Akademický článek
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