Zobrazeno 1 - 10
of 7 350
pro vyhledávání: '"Arvind, K."'
In Bayesian inverse problems, it is common to consider several hyperparameters that define the prior and the noise model that must be estimated from the data. In particular, we are interested in linear inverse problems with additive Gaussian noise an
Externí odkaz:
http://arxiv.org/abs/2412.02773
Autor:
Neha, Fnu, Bansal, Arvind K.
Publikováno v:
Proceedings of the 10th World Congress on Electrical Engineering and Computer Systems and Science, Avestia Publishing, ISSN = 2369-811X, 2024
Renal tumors, especially renal cell carcinoma (RCC), show significant heterogeneity, posing challenges for diagnosis using radiology images such as MRI, echocardiograms, and CT scans. U-Net based deep learning techniques are emerging as a promising a
Externí odkaz:
http://arxiv.org/abs/2410.15472
Autor:
Ipsen, Ilse C. F., Saibaba, Arvind K.
The notion of `stable rank' of a matrix is central to the analysis of randomized matrix algorithms, covariance estimation, deep neural networks, and recommender systems. We compare the properties of the stable rank and intrinsic dimension of real and
Externí odkaz:
http://arxiv.org/abs/2407.21594
Autor:
Khan, Abraham, Saibaba, Arvind K.
Computing low-rank approximations of kernel matrices is an important problem with many applications in scientific computing and data science. We propose methods to efficiently approximate and store low-rank approximations to kernel matrices that depe
Externí odkaz:
http://arxiv.org/abs/2406.06344
Autor:
Belwal, Kuldeep, Bisht, D., Bisht, Mohit Singh, Rangwal, Geeta, Raj, Ashish, Dattatrey, Arvind K., Yadav, R. K. S., Bhatt, B. C.
We conducted a photometric and kinematic analysis of the young open cluster NGC 2345 using CCD \emph{UBV} data from 2-m Himalayan Chandra Telescope (HCT), \emph{Gaia} Data Release 3 (DR3), 2MASS, and the APASS datasets. We found 1732 most probable cl
Externí odkaz:
http://arxiv.org/abs/2403.04532
This paper tackles optimal sensor placement for Bayesian linear inverse problems, a popular version of the more general Optimal Experiment Design (OED) problem, using the D-optimality criterion. This is done by establishing connections between sensor
Externí odkaz:
http://arxiv.org/abs/2402.16000
Strong Constraint 4D Variational (SC-4DVAR) is a data assimilation method that is widely used in climate and weather applications. SC-4DVAR involves solving a minimization problem to compute the maximum a posteriori estimate, which we tackle using th
Externí odkaz:
http://arxiv.org/abs/2401.15758
Autor:
Yadav, R. K. S., Dattatrey, Arvind K., Rangwal, Geeta, Subramaniam, Annapurni, Bisht, D., Sagar, Ram
We present the study of four FUV stars in the field of open cluster NGC 2420 using the Ultra Violet Imaging Telescope (UVIT) mounted on AstroSat. The three stars 525, 527, and 560 are members, while star 646 is a non-member of the cluster. To charact
Externí odkaz:
http://arxiv.org/abs/2312.06483
We study Bayesian methods for large-scale linear inverse problems, focusing on the challenging task of hyperparameter estimation. Typical hierarchical Bayesian formulations that follow a Markov Chain Monte Carlo approach are possible for small proble
Externí odkaz:
http://arxiv.org/abs/2311.15827