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Efficient Localization via Soft Information With Generic Sensing Measurements

Bartoletti, S.; Mazuelas, S.; Conti, A.; Win, M. (2025-06-05)

Accurate location awareness is essential for various context-based applications. This calls for efficient methodologies to collect, communicate and process position-dependent measurements, especially in situations with limit...

Bourgain’s Counterexample in the Sequential Convergence Problem for the Schrödinger Equation

Cho, C.H.; Eceizabarrena, D. (2025-05-08)

We study the problem of pointwise convergence for the Schrödinger operator on $\mathbb R^n$ along time sequences. We show that the sharp counterexample to the sequential Schrödinger maximal estimate given recently by Li, Wan...

A Unified View of Double-Weighting for Marginal Distribution Shift

Segovia, J.I; Mazuelas, S.; Liu, A. (2025-03-01)

Supervised classification traditionally assumes that training and testing samples are drawn from the same underlying distribution. However, practical scenarios are often affected by distribution shifts, such as covariate and...

Collocation-based robust variational physics-informed neural networks (CRVPINNs)

Paszyński, Maciej; Los, M.; Służalec, T.; Maczuga, P.; Vilkha, A.; Uriarte, C. (2025-09-01)

Physics-informed neural networks (PINNs) have been widely used to solve partial differential equations (PDEs) through strong residual minimization formulations. Their extension to weak scenarios via Variational PINNs (VPINNs...