6 citations · 7 across the 11 of their papers we have counts for
4 papers · 1 filter
On a Class of Block-Regularized Preconditioned Iterative Methods for Indefinite Least-Squares Problems
Pinki Khatun
This paper proposes a novel block-regularized splitting (BRS) framework for the efficient solution of indefinite least-squares (ILS) problems. Based on a block-wise regularization…
Do Existing Preconditioners Improve Biomedical Tabular Foundation Learning? An Empirical Study on TabPFN Optimization
M. Sajid, Pinki Khatun, M. Tanveer
Tabular foundation models have recently shown strong potential for structured biomedical data analysis. Among them, TabPFN has emerged as an effective approach for low-data tabular…
Physics-Informed Broad Learning System: An Efficient Backpropagation-Free Framework for Solving Partial Differential Equations
Pinki Khatun, M. Sajid, Abhinav Jha +1
Physics-informed neural networks (PINNs) have emerged as a powerful paradigm for solving partial differential equations (PDEs) by embedding governing physical laws into deep neural…
Diophantine Equation over number fields
Pinki Khatun
Let , where is a positive square-free integer, and denote by the ring of integers of $…