Zobrazeno 1 - 10
of 57
pro vyhledávání: '"A. C. Cresswell"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Institutions in highly regulated domains such as finance and healthcare often have restrictive rules around data sharing. Federated learning is a distributed learning framework that enables multi-institutional collaborations on decentralized
Externí odkaz:
https://doaj.org/article/8dd8582fd7db477994702bdb0284158c
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The artificial intelligence revolution has been spurred forward by the availability of large-scale datasets. In contrast, the paucity of large-scale medical datasets hinders the application of machine learning in healthcare. The lack of publ
Externí odkaz:
https://doaj.org/article/8edc540f8f3c4484bb5448977881b874
Publikováno v:
Journal of High Energy Physics, Vol 2019, Iss 3, Pp 1-26 (2019)
Abstract We study the holographic duality between boundary OPE blocks and geodesic integrated bulk fields in quotients of AdS3 dual to excited CFT states. The quotient geometries exhibit non-minimal geodesics between pairs of spacelike separated boun
Externí odkaz:
https://doaj.org/article/5aa7718854894228a5abf5a5ac3f7138
Autor:
Jesse C. Cresswell, Amanda W. Peet
Publikováno v:
Journal of High Energy Physics, Vol 2017, Iss 11, Pp 1-33 (2017)
Abstract Kinematic space can be used as an intermediate step in the AdS/CFT dictionary and lends itself naturally to the description of diffeomorphism invariant quantities. From the bulk it has been defined as the space of boundary anchored geodesics
Externí odkaz:
https://doaj.org/article/6f7b9dac4e6f43f0a6fe142af0caeee5
Institutions in highly regulated domains such as finance and healthcare often have restrictive rules around data sharing. Federated learning is a distributed learning framework that enables multi-institutional collaborations on decentralized data wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5f236360fce52722c7d46a5c36bb15
http://arxiv.org/abs/2111.11343
http://arxiv.org/abs/2111.11343
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Scientific Reports
Scientific Reports
The artificial intelligence revolution has been spurred forward by the availability of large-scale datasets. In contrast, the paucity of large-scale medical datasets hinders the application of machine learning in healthcare. The lack of publicly avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d8e8b5f70d29d09e9e707b2beae602
https://doi.org/10.21203/rs.3.rs-1005694/v1
https://doi.org/10.21203/rs.3.rs-1005694/v1
Autor:
Vipul Periwal, Evan C Cresswell-Clay
Publikováno v:
Mathematical Biosciences
The SARS-CoV-2 virus causing the global pandemic is a coronavirus with a genome of about 30Kbase length [Song et al., 2019]. The design of vaccines and choice of therapies depends on the structure and mutational stability of encoded proteins in the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4233c9720faab6e1c18d0cac024d006
https://doi.org/10.1016/j.mbs.2021.108678
https://doi.org/10.1016/j.mbs.2021.108678
Autor:
O Welfare, GL Larkin, J Lucas, A Harper, C Macgregor, R Farrar, D Sage, M Than, Marc Gutenstein, C Cresswell, A Lagas, K Taplin, Andrew W. Munro, W Tan, A Mcleay, P Quigley, D Fish, TR Joseph, F Ragaban, C McCaffrey, A MacLean, Andrew Brainard, R Reid, M Hattaway, J Henry, S Jairam, A Nienaber, Linda Wells, B Lambie, I Martin, Stuart Dalziel, T Cheri, M Shasha, R Makower, D Moore, D Fleischer, N Mitchell, M Tauranga, K Pass, R Subritzky, D McKee, T Davies, J Wailing, Michael Ardagh, Joanna Stewart, John W. Pickering, Kim Yates, M Watts, B Shahpuri, Mary-Jane Reid, M Colligan, R Shasha, Chris Ellis, M Hussey, Bradley F. Peckler, F Sawtell, R Mills, K Schimanski, Peter Jones, M Harvey, Elana Curtis, JL Fevre, Shanthi Ameratunga, K Austin
Publikováno v:
Emergency Medicine Australasia. 29:165-172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::343291f5158820afd034cdace6737ef7
https://doi.org/10.1111/1742-6723.12714
https://doi.org/10.1111/1742-6723.12714
Publikováno v:
Journal of High Energy Physics
Journal of High Energy Physics, Vol 2019, Iss 3, Pp 1-26 (2019)
Journal of High Energy Physics, Vol 2019, Iss 3, Pp 1-26 (2019)
We study the holographic duality between boundary OPE blocks and geodesic integrated bulk fields in quotients of AdS$_3$ dual to excited CFT states. The quotient geometries exhibit non-minimal geodesics between pairs of spacelike separated boundary p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7abc2f82b6a17dc120eca8bec737f62b
http://repo.scoap3.org/api
http://repo.scoap3.org/api
Quantum entanglement obscures the notion of local operations; there exist quantum states for which all local actions on one subsystem can be equivalently realized by actions on another. We characterize the states for which this fundamental property o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c72bf1c5dff64a53e2843dd0e9c3b04d