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pro vyhledávání: '"Bures metric"'
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Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track
Machine Learning and Knowledge Discovery in Databases. Research Track, 12976, Springer International Publishing, pp.52-66, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-86520-7_4⟩
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Machine Learning and Knowledge Discovery in Databases. Research Track
Machine Learning and Knowledge Discovery in Databases. Research Track-European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030865191
ECML/PKDD (2)
Machine Learning and Knowledge Discovery in Databases. Research Track, 12976, Springer International Publishing, pp.52-66, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-86520-7_4⟩
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Machine Learning and Knowledge Discovery in Databases. Research Track
Machine Learning and Knowledge Discovery in Databases. Research Track-European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030865191
ECML/PKDD (2)
Generative Adversarial Networks (GANs) are performant generative methods yielding high-quality samples. However, under certain circumstances, the training of GANs can lead to mode collapse or mode dropping, i.e. the generative models not being able t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd84e8d271b52a7fef3e3d59e1569cba
https://hal.science/hal-03511345
https://hal.science/hal-03511345
Autor:
Lajos Molnár
Publikováno v:
Linear Algebra and its Applications. 557:22-33
We describe the precise structure of all surjective ('a priori' nonlinear or, better say, nonaffine) Bures isometries between density spaces of C ⁎ -algebras equipped with faithful traces. It turns out that those maps are closely related to (linear
Autor:
Chuan-Xian Ren, You-Wei Luo
Publikováno v:
CVPR
As a vital problem in classification-oriented transfer, unsupervised domain adaptation (UDA) has attracted widespread attention in recent years. Previous UDA methods assume the marginal distributions of different domains are shifted while ignoring th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40de22c68b59b4777d0416b3e468e174
Autor:
Muzellec, Boris
Publikováno v:
Optimization and Control [math.OC]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAG009⟩
Comparing and matching probability distributions is a crucial in numerous machine learning (ML) algorithms. Optimal transport (OT) defines divergences between distributions that are grounded on geometry: starting from a cost function on the underlyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::bc21a621ee2fb8fcf4dcd5aef9809ab2
https://tel.archives-ouvertes.fr/tel-03084452/file/91826_MUZELLEC_2020_archivage.pdf
https://tel.archives-ouvertes.fr/tel-03084452/file/91826_MUZELLEC_2020_archivage.pdf
Autor:
Muzellec, Boris
Publikováno v:
Optimization and Control [math.OC]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAG009⟩
Comparing and matching probability distributions is a crucial in numerous machine learning (ML) algorithms. Optimal transport (OT) defines divergences between distributions that are grounded on geometry: starting from a cost function on the underlyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::bc21a621ee2fb8fcf4dcd5aef9809ab2
https://tel.archives-ouvertes.fr/tel-03084452/file/91826_MUZELLEC_2020_archivage.pdf
https://tel.archives-ouvertes.fr/tel-03084452/file/91826_MUZELLEC_2020_archivage.pdf
We provide a natural generalization of a Riemannian structure, i.e., a metric, recently introduced by Sj\"{o}qvist for the space of non degenerate density matrices, to the degenerate case, i.e., the case in which the eigenspaces have dimension greate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b26b0b235bb5f61d9cd4d3c48bcce9a8
http://arxiv.org/abs/2010.06629
http://arxiv.org/abs/2010.06629
We study quantum non-Markovian dynamics of the Caldeira-Leggett model, a prototypical model for quantum Brownian motion describing a harmonic oscillator linearly coupled to a reservoir of harmonic oscillators. Employing the exact analytical solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fac3e280cf9eea5f3f6354c19aed2c26
http://arxiv.org/abs/2007.02870
http://arxiv.org/abs/2007.02870
Autor:
Shan-Ming Ruan
Publikováno v:
Journal of High Energy Physics, Vol 2021, Iss 1, Pp 1-51 (2021)
Journal of High Energy Physics
Journal of High Energy Physics
We generalize the Fubini-Study method for pure-state complexity to generic quantum states by taking Bures metric or quantum Fisher information metric on the space of density matrices as the complexity measure. Due to Uhlmann's theorem, we show that t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61fb848464db558bca27e384fbb1864b
http://arxiv.org/abs/2006.01088
http://arxiv.org/abs/2006.01088
Autor:
Vladimir P. Gerdt, Kapil K. Sharma
Investigating the influence of quantum information (QI) scrambling on quantum correlations in a physical system is an interesting problem. In this article we establish the mathematical connections among the quantifiers known as quantum information sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99915a104028421ec1ec2848e4e3afe2