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pro vyhledávání: '"Ancelin A"'
We propose new algorithms to efficiently average a collection of points on a Grassmannian manifold in both the centralized and decentralized settings. Grassmannian points are used ubiquitously in machine learning, computer vision, and signal processi
Externí odkaz:
http://arxiv.org/abs/2410.08956
Autor:
Ancelin, Brighton, Chen, Yenho, Guan, Peimeng, Kaushik, Chiraag, Martin-Urcelay, Belen, Saad-Falcon, Alex, Singh, Nakul
Learning semantically meaningful image transformations (i.e. rotation, thickness, blur) directly from examples can be a challenging task. Recently, the Manifold Autoencoder (MAE) proposed using a set of Lie group operators to learn image transformati
Externí odkaz:
http://arxiv.org/abs/2409.09542
Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold -- the set of linear subspaces of a high-dimen
Externí odkaz:
http://arxiv.org/abs/2402.10352
Autor:
Manwani, Pratik, Majernik, Nathan, Mann, Joshua, Kang, Yunbo, Chow, Derek, Ancelin, Havyn, Andonian, Gerard, Rosenzweig, James
Particle beams with highly asymmetric emittance ratios are expected at the interaction point of high energy colliders. These asymmetric beams can be used to drive high gradient wakefields in dielectrics and plasma. In the case of plasma, the high asp
Externí odkaz:
http://arxiv.org/abs/2305.01902
Autor:
Maritzaida Varela Salgado, Ingrid E. Adriaans, Sandra A. Touati, Sandy Ibanes, Joséphine Lai-Kee-Him, Aurélie Ancelin, Luca Cipelletti, Laura Picas, Simonetta Piatti
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract A double septin ring accompanies cytokinesis in yeasts and mammalian cells. In budding yeast, reorganisation of the septin collar at the bud neck into a dynamic double ring is essential for actomyosin ring constriction and cytokinesis. Septi
Externí odkaz:
https://doaj.org/article/a7acff31b15c4ae097d29add29bdf9d3
Autor:
Ancelin, David
Publikováno v:
In Revue de Chirurgie Orthopedique et Traumatologique October 2024 110(6):811-822
We consider the "all-for-one" decentralized learning problem for generalized linear models. The features of each sample are partitioned among several collaborating agents in a connected network, but only one agent observes the response variables. To
Externí odkaz:
http://arxiv.org/abs/2110.15283
Autor:
Kwong, Hok-Sau, Paloni, Matteo, Grandvuillemin, Loïc, Sirounian, Savannah, Ancelin, Aurélie, Lai-Kee-Him, Josephine, Grimaldi, Marina, Carivenc, Coralie, Lancey, Claudia, Ragan, Timothy J., Hesketh, Emma L., Balaguer, Patrick, Barducci, Alessandro, Gruszczyk, Jakub, Bourguet, William
Publikováno v:
In Journal of Molecular Biology 1 February 2024 436(3)
Publikováno v:
In Orthopaedics & Traumatology: Surgery & Research October 2024
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