Zobrazeno 1 - 10
of 4 254
pro vyhledávání: '"Mohan, C"'
Computing the loss gradient via backpropagation consumes considerable energy during deep learning (DL) model training. In this paper, we propose a novel approach to efficiently compute DL models' gradients to mitigate the substantial energy overhead
Externí odkaz:
http://arxiv.org/abs/2406.07332
Federated Learning (FL) is a collaborative learning paradigm enabling participants to collectively train a shared machine learning model while preserving the privacy of their sensitive data. Nevertheless, the inherent decentralized and data-opaque ch
Externí odkaz:
http://arxiv.org/abs/2404.04139
Autor:
Dayal, Aveen, B., Vimal K., Cenkeramaddi, Linga Reddy, Mohan, C. Krishna, Kumar, Abhinav, Balasubramanian, Vineeth N
Domain Generalization (DG) techniques have emerged as a popular approach to address the challenges of domain shift in Deep Learning (DL), with the goal of generalizing well to the target domain unseen during the training. In recent years, numerous me
Externí odkaz:
http://arxiv.org/abs/2311.08503
Autor:
Catherine A. Doyle, Gregory W. Busey, Wesley H. Iobst, Volker Kiessling, Chloe Renken, Hansa Doppalapudi, Marta E. Stremska, Mohan C. Manjegowda, Mohd Arish, Weiming Wang, Shardul Naphade, Joel Kennedy, Louis-Marie Bloyet, Cassandra E. Thompson, Paul W. Rothlauf, Eric J. Stipes, Sean P. J. Whelan, Lukas K. Tamm, Alex J. B. Kreutzberger, Jie Sun, Bimal N. Desai
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract The majority of viruses classified as pandemic threats are enveloped viruses which enter the cell through receptor-mediated endocytosis and take advantage of endosomal acidification to activate their fusion machinery. Here we report that the
Externí odkaz:
https://doaj.org/article/dee6605d5bdc48a684b5ee4df122fe09
Publikováno v:
Indian Journal of Public Health, Vol 68, Iss 3, Pp 454-456 (2024)
Malignancies in human immunodeficiency virus (HIV) positive individuals have a larger role in morbidity and mortality. Appropriate clinical acumen is required for a clinician to anticipate the occurrence of lymphoma after starting antiretroviral ther
Externí odkaz:
https://doaj.org/article/bef986ce42704caf9ad6872202ceb0c2
Publikováno v:
Regenerative Therapy, Vol 27, Iss , Pp 39-47 (2024)
Induced pluripotent stem cells (iPSCs) have immense potential for use in disease modeling, etiological studies, and drug discovery. However, the current workflow for iPSC generation and maintenance poses challenges particularly during the establishme
Externí odkaz:
https://doaj.org/article/efb3a6c9544241889f1fb37ff8ac40ff
Autor:
Arun Kumar, Manti Kumar Saha, Vipin Kumar, Anupam Bhattacharya, Sagar Barge, Ashis K. Mukherjee, Mohan C. Kalita, Mojibur R. Khan
Publikováno v:
Immunity & Ageing, Vol 21, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/41a2e9f03ef34563a5fdaa2ef77f24b8
Autor:
Arun Kumar, Manti Kumar Saha, Vipin Kumar, Anupam Bhattacharya, Sagar Barge, Ashis K. Mukherjee, Mohan C. Kalita, Mojibur R. Khan
Publikováno v:
Immunity & Ageing, Vol 21, Iss 1, Pp 1-26 (2024)
Abstract Background Proteostasis is a critical aging hallmark responsible for removing damaged or misfolded proteins and their aggregates by improving proteasomal degradation through the autophagy-lysosome pathway (ALP) and the ubiquitin–proteasome
Externí odkaz:
https://doaj.org/article/aa0932f2118e495c882362803d5f1708