Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Kumar Mp"'
Autor:
Balasubramaniam, Arthi, Arumugham I, Meignana, Nathan P, Senthil, Santhosh Kumar, MP, Murugesan, K., Dharmaraj, Selvakumar, Thangavelu, Lakshmi, Yadalam, Pradeep Kumar, Ramadoss, Ramya, Ashokkumar, Veeramuthu
Publikováno v:
In Journal of Biotechnology 10 December 2022 360:1-10
Publikováno v:
In Oral Oncology Reports March 2024 9
Publikováno v:
IEEE Transactions on Instrumentation and Measurement; 2024, Vol. 73 Issue: 1 p1-16, 16p
Publikováno v:
2022 IEEE International Conference on Emerging Electronics (ICEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620be9dc7dabf775883987140a5f515a
https://doi.org/10.1109/icee56203.2022.10118320
https://doi.org/10.1109/icee56203.2022.10118320
Recent progress in neural network verification has challenged the notion of a convex barrier, that is, an inherent weakness in the convex relaxation of the output of a neural network. Specifically, there now exists a tight relaxation for verifying th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::09bd37c5c4aa8d449e75e462c628eb9b
https://ora.ox.ac.uk/objects/uuid:ffbd7430-bb77-4dc5-acc5-c89da5efd8a0
https://ora.ox.ac.uk/objects/uuid:ffbd7430-bb77-4dc5-acc5-c89da5efd8a0
Akademický článek
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Tight and efficient neural network bounding is of critical importance for the scaling of neural network verification systems. A number of efficient specialised dual solvers for neural network bounds have been presented recently, but they are often to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::d8294736b5124edec9d21d3aee4aa6a5
https://ora.ox.ac.uk/objects/uuid:e270512c-3503-4546-bca6-e011330db367
https://ora.ox.ac.uk/objects/uuid:e270512c-3503-4546-bca6-e011330db367
Publikováno v:
Journal of long-term effects of medical implants. 30(3)
Edentulism (partial or complete) is considered a major indicator of the oral health of a population. In partially edentulous patients the alveolar bone, adjacent teeth, and supporting structures influence the choice of prosthetic restoration. Dental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c154bdb4cbb2c720d7b288805014de83
https://pubmed.ncbi.nlm.nih.gov/33463964
https://pubmed.ncbi.nlm.nih.gov/33463964
Publikováno v:
Indian Journal of Sleep Medicine. 13:5-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a0013a2330dce0fa842ffb565c9c5c8
https://doi.org/10.5005/jp-journals-10069-0016
https://doi.org/10.5005/jp-journals-10069-0016
In modern supervised learning, many deep neural networks are able to interpolate the data: the empirical loss can be driven to near zero on all samples simultaneously. In this work, we explicitly exploit this interpolation property for the design of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f2b4ab4a0eb936d9c947b386153e5e5
http://arxiv.org/abs/1906.05661
http://arxiv.org/abs/1906.05661