Zobrazeno 1 - 10
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pro vyhledávání: '"Monga A"'
The classification of harmful brain activities, such as seizures and periodic discharges, play a vital role in neurocritical care, enabling timely diagnosis and intervention. Electroencephalography (EEG) provides a non-invasive method for monitoring
Externí odkaz:
http://arxiv.org/abs/2412.07878
We develop a decision making framework to cast the problem of learning a ranking policy for search or recommendation engines in a two-sided e-commerce marketplace as an expected reward optimization problem using observational data. As a value allocat
Externí odkaz:
http://arxiv.org/abs/2410.04568
Autor:
Monga, Munish, Giroh, Sachin Kumar, Jha, Ankit, Singha, Mainak, Banerjee, Biplab, Chanussot, Jocelyn
Multi-Target Domain Adaptation (MTDA) entails learning domain-invariant information from a single source domain and applying it to multiple unlabeled target domains. Yet, existing MTDA methods predominantly focus on addressing domain shifts within vi
Externí odkaz:
http://arxiv.org/abs/2409.00397
Autor:
Monga, Marcello
Automated market makers (AMMs) are a new type of trading venues which are revolutionising the way market participants interact. At present, the majority of AMMs are constant function market makers (CFMMs) where a deterministic trading function determ
Externí odkaz:
http://arxiv.org/abs/2407.16885
This study presents a new computational approach for simulating the microbial decomposition of organic matter, from 3D micro-computed tomography (micro-CT) images of soil. The method employs a valuated graph of connected voxels to simulate transforma
Externí odkaz:
http://arxiv.org/abs/2406.04177
Autor:
You, Bingran, Wu, Qiming, Miron, David, Ke, Wenjun, Monga, Inder, Saglamyurek, Erhan, Haeffner, Hartmut
High-rate remote entanglement between photon and matter-based qubits is essential for distributed quantum information processing. A key technique to increase the modest entangling rates of existing long-distance quantum networking approaches is multi
Externí odkaz:
http://arxiv.org/abs/2405.10501
Antiperovskite nitrides are potential candidates for applications harvesting solar light. With a comprehensive state-of-the-art approach combining hybrid density-functional theory, many-body perturbation theory, the Wannier-Mott model, density-functi
Externí odkaz:
http://arxiv.org/abs/2404.16494
Autor:
Keeler, Cynthia, Monga, Nikhil
In our previous paper (arXiv:2005.04242) we discussed type-D and type-N fluid-dual spacetimes and provided their associated single copies in the context of the Weyl double copy. In this work we extend our analysis to more general fluids thereby requi
Externí odkaz:
http://arxiv.org/abs/2404.03195
Autor:
Monga Alokparna Basu, Hsu Liwu
Publikováno v:
GfK Marketing Intelligence Review, Vol 10, Iss 1, Pp 40-45 (2018)
Understanding consumers’ ways of thinking can help identify strategies to limit brand damage and elicit more favorable reactions from disapproving consumers. Analytic thinkers’ beliefs about a brand are diluted when they see negative information;
Externí odkaz:
https://doaj.org/article/060d0e7639e64753b9fd7e18022ce9c8
In recent years, algorithm unrolling has emerged as a powerful technique for designing interpretable neural networks based on iterative algorithms. Imaging inverse problems have particularly benefited from unrolling-based deep network design since ma
Externí odkaz:
http://arxiv.org/abs/2402.12872