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Creators/Authors contains: "Sarkar, S."

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  1. ; ; ; ; ; ; ; ; ( , Advances in neural information processing systems)
    Free, publicly-accessible full text available December 1, 2022
  2. ; ; ; ; ; ; ( , International Conference on Machine Learning)
    Free, publicly-accessible full text available July 1, 2022
  3. ; ; ; ; ( , Journal of Physical Oceanography)
    Abstract Factors thought to influence deep cycle turbulence in the equatorial Pacific are examined statistically for their predictive capacity using a 13-year moored record that includes microstructure measurements of the turbulent kinetic energy dissipation rate. Wind stress and mean current shear are found to be most predictive of the dissipation rate. Those variables, together with the solar buoyancy flux and the diurnal mixed layer thickness, are combined to make a pair of useful parameterizations. The uncertainty in these predictions is typically 50% greater than the uncertainty in present-day in situ measurements. To illustrate the use of these parameterizations, the recordmore »of deep cycle turbulence, measured directly since 2005, is extended back to 1990 based on historical mooring data. The extended record is used to refine our understanding of the seasonal variation of deep cycle turbulence.« less
    Free, publicly-accessible full text available May 27, 2022
  4. ; ; ( , Journal of mathematical imaging and vision)
    Complex analyses involving multiple, dependent random quantities often lead to graphical models—a set of nodes denoting variables of interest, and corresponding edges denoting statistical interactions between nodes. To develop statistical analyses for graphical data, especially towards generative modeling, one needs mathematical representations and metrics for matching and comparing graphs, and subsequent tools, such as geodesics, means, and covariances. This paper utilizes a quotient structure to develop efficient algorithms for computing these quantities, leading to useful statistical tools, including principal component analysis, statistical testing, and modeling. We demonstrate the efficacy of this framework using datasets taken from several problem areas, includingmore »letters, biochemical structures, and social networks.« less
    Full Text Available 
  5. ; ( , Proceedings of ACM International Conference on Theory of Information Retrieval (ICTIR))
    Accepted Manuscript Full Text Available
  6. ; ; ( , The American journal of tropical medicine and hygiene)
    This paper covered progress on tackling COVID-19 in India, a country with the second highest number of reported infections and fourth highest number of reported deaths in the world.
    Full Text Available 
  7. ; ; ; ; ( , 2020 American Control Conference)
    Accepted Manuscript Full Text Available
  8. ; ; ; ; ; ; ; ; ; ; et al ( , Nature)
    Free, publicly-accessible full text available February 3, 2023
  9. ; ; ; ( , International Conference on Computer Vision)
    Accepted Manuscript Full Text Available
  10. ; ; ; ( , CVPR Workshop on Vision for All Seasons (VAS))
    Accepted Manuscript Full Text Available