Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Venkatesh P. Mysore"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 3 (2022)
Protein-protein interactions (PPIs) are ubiquitous biomolecular processes that are central to virtually all aspects of cellular function. Identifying small molecules that modulate specific disease-related PPIs is a strategy with enormous promise for
Externí odkaz:
https://doaj.org/article/65ded0024ce84dadb282a6ab830c71bc
Autor:
Venkatesh, Supreeth Mysore, Macaluso, Antonio, Nuske, Marlon, Klusch, Matthias, Dengel, Andreas
The increasing number of Low Earth Orbit (LEO) satellites, driven by lower manufacturing and launch costs, is proving invaluable for Earth observation missions and low-latency internet connectivity. However, as the number of satellites increases, the
Externí odkaz:
http://arxiv.org/abs/2408.06007
Autor:
Venkatesh, Supreeth Mysore, Macaluso, Antonio, Nuske, Marlon, Klusch, Matthias, Dengel, Andreas
Quantum computing is expected to transform a range of computational tasks beyond the reach of classical algorithms. In this work, we examine the application of variational quantum algorithms (VQAs) for unsupervised image segmentation to partition ima
Externí odkaz:
http://arxiv.org/abs/2405.14405
Autor:
Venkatesh, Supreeth Mysore, Macaluso, Antonio, Nuske, Marlon, Klusch, Matthias, Dengel, Andreas
We present Q-Seg, a novel unsupervised image segmentation method based on quantum annealing, tailored for existing quantum hardware. We formulate the pixel-wise segmentation problem, which assimilates spectral and spatial information of the image, as
Externí odkaz:
http://arxiv.org/abs/2311.12912
Autor:
Sarah R. Needham, Selene K. Roberts, Anton Arkhipov, Venkatesh P. Mysore, Christopher J. Tynan, Laura C. Zanetti-Domingues, Eric T. Kim, Valeria Losasso, Dimitrios Korovesis, Michael Hirsch, Daniel J. Rolfe, David T. Clarke, Martyn D. Winn, Alireza Lajevardipour, Andrew H. A. Clayton, Linda J. Pike, Michela Perani, Peter J. Parker, Yibing Shan, David E. Shaw, Marisa L. Martin-Fernandez
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-14 (2016)
Epidermal growth factor receptors have been shown to oligomerise upon binding to their cognate ligands. Here, the authors use biochemical, biophysical and cell biology techniques to analyse the structures of these oligomers, and argue that these form
Externí odkaz:
https://doaj.org/article/4106f1db16d64a39ab5d782e227f6e6e
Coalition Structure Generation (CSG) is an NP-Hard problem in which agents are partitioned into mutually exclusive groups to maximize their social welfare. In this work, we propose QuACS, a novel hybrid quantum classical algorithm for Coalition Struc
Externí odkaz:
http://arxiv.org/abs/2304.07218
The problem of generating an optimal coalition structure for a given coalition game of rational agents is to find a partition that maximizes their social welfare and is known to be NP-hard. This paper proposes GCS-Q, a novel quantum-supported solutio
Externí odkaz:
http://arxiv.org/abs/2212.11372
Quantum AI is an emerging field that uses quantum computing to solve typical complex problems in AI. In this work, we propose BILP-Q, the first-ever general quantum approach for solving the Coalition Structure Generation problem (CSGP), which is nota
Externí odkaz:
http://arxiv.org/abs/2204.13802
Autor:
Kundu, Jogendra Nath, Revanur, Ambareesh, Waghmare, Govind Vitthal, Venkatesh, Rahul Mysore, Babu, R. Venkatesh
We present a deployment friendly, fast bottom-up framework for multi-person 3D human pose estimation. We adopt a novel neural representation of multi-person 3D pose which unifies the position of person instances with their corresponding 3D pose repre
Externí odkaz:
http://arxiv.org/abs/2008.01388
Autor:
Kundu, Jogendra Nath, Venkatesh, Rahul Mysore, Venkat, Naveen, Revanur, Ambareesh, Babu, R. Venkatesh
We introduce a practical Domain Adaptation (DA) paradigm called Class-Incremental Domain Adaptation (CIDA). Existing DA methods tackle domain-shift but are unsuitable for learning novel target-domain classes. Meanwhile, class-incremental (CI) methods
Externí odkaz:
http://arxiv.org/abs/2008.01389