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Pinki Khatun

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Preprint Aug 2026

On a Class of Block-Regularized Preconditioned Iterative Methods for Indefinite Least-Squares Problems

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 strategy incorporated into a matrix splitting scheme, we develop a BRS iterative method together with an effective BRS preconditioner. The c...

Pinki Khatun · 0 citations
#artificial intelligence Preprint Aug 2026

Do Existing Preconditioners Improve Biomedical Tabular Foundation Learning? An Empirical Study on TabPFN Optimization

It is suggested that generic preconditioning approaches may not adequately capture the optimization characteristics of biomedical tabular learning, motivating the development of biomedical-aware preconditioners specifically tailored for healthcare-oriented tabular foundation models.

M. Sajid, Pinki Khatun, M. Tanveer · 0 citations
Jul 2026

Physics-Informed Broad Learning System: An Efficient Backpropagation-Free Framework for Solving Partial Differential Equations

This work proposes a novel physics-informed broad learning system (PI-BLS), the first physics-informed learning framework based on broad RdNNs that achieves competitive and often superior performance with reduced training time and model parameters compared with conventional PINNs.

Pinki Khatun, M. Sajid, Abhinav Jha et al. · 0 citations

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