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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

An Exact Instrument for State Usage in Selective State-Space Models, and the Input-Driven Migration It Reveals

Raktim Bhattacharya

The paper introduces an exact measurement tool that quantifies how selective state‑space models like Mamba use their internal modes, enabling precise prediction of pruning errors a…

math.OC2026

Robust Observer Design via Finsler's Lemma and IQCs

Raktim Bhattacharya, Felix Biertümpfel

This paper develops a Finsler-based LMI for robust observer design with integral quadratic constraints (IQCs) and block-structured uncertainty. By introducing…

cs.IT2026

Sensor Design for Accuracy-Bounded Estimation via Maximum-Entropy Likelihood Synthesis

Raktim Bhattacharya

Designing the sensing architecture for large-scale spatio-temporal systems is hard when accuracy requirements are specified but sensor models are uncertain or unavailable. Classica…

eess.SP2026

Improving D-Optimal Sensor Placement for Bearing-Only Localization via Maximum-Entropy Reweighting

Raktim Bhattacharya

In this paper, we present a two-layer architecture for bearing-only sensor placement that improves upon classical D-optimal design. The first layer reweights particles by minimizin…

math.OC2025

Optimal Sensing Precision for Celestial Navigation Systems in Cislunar Space using LPV Framework

Eliot Nychka, Raktim Bhattacharya

This paper introduces two innovative convex optimization formulations to simultaneously optimize the H2/Hinf observer gain and sensing precision, and guarantee a specified estimati…