Skip to content

Author

Ramakrishnan Kannan

We have 3 of 11 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Sep 2026

From 2^N to N^2: Tree-Free Scalable Sparse Symmetric Tucker Decomposition

Symmetric sparse tensors arise naturally from multi-relational data, such as co-purchasing patterns, co-authorship networks, and temporal interaction data, and Tucker decomposition of such data extracts low-rank latent structure. The primary computational bottleneck is the Symmetric Sparse Tensor Times Same Matrix Chai...

Yongseok Soh, Shruti Shivakumar, Jia-Jia Li et al. · 0 citations
Book Open access Aug 2026

CAHS: Context-Aware Homology Search

Protein homology search is foundational to bioinformatics: it supports annotation transfer, structure/function inference, and evolutionary analysis over rapidly expanding sequence repositories (e.g., UniProtKB). Profile hidden Markov models (pHMMs), as implemented in HMMER, remain the most widely trusted approach becau...

Swethasree Bhattaram, D. Bhowmik, Ramakrishnan Kannan · 0 citations
Book Open access Aug 2026

CAHS: Context-Aware Homology Search

CAHS (Context-Aware Homology Search), a lightweight query-time adapter for pHMM search that incorporates learned and biologically motivated signals without changing HMMER's downstream search pipeline or its calibrated E-value reporting, illustrates a practical AI-for-science design pattern.

Swethasree Bhattaram, D. Bhowmik, Ramakrishnan Kannan · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.