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arXiv:2510.23254v2 Announce Type: replace-cross Abstract: We study in-context learning problems where a Transformer is pretrained on tasks drawn from a mixture distribution $\pi=\sum_{\alpha\in\mathcal{A}} \lambda_{\alpha} \pi_{\alpha}$,...
arXiv:2511.00752v3 Announce Type: replace-cross Abstract: This paper introduces a novel model-free, real-time unicycle-based source seeking design. This design autonomously steers the unicycle dynamic system towards...
arXiv:2511.12285v2 Announce Type: replace-cross Abstract: Lexical tone is central to many languages but remains underexplored in self-supervised learning (SSL) speech models, especially beyond Mandarin. We...
arXiv:2511.14623v2 Announce Type: replace-cross Abstract: We propose Alternating Phase-Field Fourier Neural Networks (APF-FNNs) as a unified and physics-based framework for topology optimization. The approach decouples...
arXiv:2511.14832v2 Announce Type: replace-cross Abstract: Anomaly detection has the potential to discover new physics in unexplored regions of the data. However, choosing the best anomaly...
arXiv:2512.00203v2 Announce Type: replace-cross Abstract: Expected goals (xG) models estimate the probability that a shot results in a goal from its context (e.g., location, pressure),...
arXiv:2512.07053v2 Announce Type: replace-cross Abstract: Integrating contention-based random access procedures into low Earth orbit (LEO) satellite communication (SatCom) systems poses new challenges, including long propagation...
arXiv:2512.14308v3 Announce Type: replace-cross Abstract: Amortized Bayesian inference (ABI) offers fast, scalable approximations to posterior densities by training neural surrogates on data simulated from the...
arXiv:2512.20791v2 Announce Type: replace-cross Abstract: In the framework of a real Hilbert space we consider the problem of approaching solutions to a class of hierarchical...
arXiv:2512.23337v2 Announce Type: replace-cross Abstract: We introduce heterogeneous R&D productivities into an endogenous R&D network formation model, generalizing the framework of Goyal and Moraga-Gonz\'{a}lez (2001)....
arXiv:2601.04478v2 Announce Type: replace-cross Abstract: Bioelectrical properties of cells such as relative permittivity, conductivity, and characteristic time constants vary significantly between healthy and malignant cells...
arXiv:2601.05195v2 Announce Type: replace-cross Abstract: The basis number of a graph $G$ is the minimum $k$ such that the cycle space of $G$ is generated...
arXiv:2601.10506v3 Announce Type: replace-cross Abstract: We prove that there is no preferential voting method satisfying the Condorcet winner and loser criteria, positive involvement (if a...
arXiv:2601.11594v2 Announce Type: replace-cross Abstract: Complex dynamical systems frequently encounter a recurrent structural instability: the collapse of the spectral gap, driving the system toward a...
arXiv:2601.11959v2 Announce Type: replace-cross Abstract: Eigenvalue transformations appear ubiquitously in scientific computation, ranging from matrix polynomials to differential equations, and are beyond the reach of...
arXiv:2601.13102v2 Announce Type: replace-cross Abstract: Full conformal prediction is a framework that implicitly formulates distribution-free confidence prediction regions for a wide range of estimators. However,...
arXiv:2601.13426v2 Announce Type: replace-cross Abstract: Platforms matching spatially distributed supply to demand face a fundamental design choice: given a fixed total budget of service range,...
arXiv:2601.13818v3 Announce Type: replace-cross Abstract: This paper extends the distributed rolling contact FrBD framework to linear viscoelasticity by considering classic derivative Generalised Maxwell and Kelvin-Voigt...
arXiv:2601.15340v2 Announce Type: replace-cross Abstract: Physical neural networks typically train linear synaptic weights while treating device nonlinearities as fixed. We show the opposite - by...
arXiv:2601.18820v1 Announce Type: new Abstract: Cologna et al. (2025) compared perceived scientist trustworthiness across 68 countries/regions and examined its associations with individual- and country-level factors....
arXiv:2601.18848v1 Announce Type: new Abstract: This paper introduces wavelet-physics-informed residual neural networks (W-PIRNNs) to study complex fluid flow problems by reconstructing the flow field from...
arXiv:2601.18895v1 Announce Type: new Abstract: People may express preferences that differ from their privately held views, often under social pressure, and may fail to act...
arXiv:2601.18911v1 Announce Type: new Abstract: This work investigates the propagation of elastic waves in periodic Kelvin-cell chains, focusing on symmetry-breaking geometric modifications induced by twisting...
arXiv:2601.18915v1 Announce Type: new Abstract: Optical trapping is a well_established, decades old technology with applications in several fields of research. The most common scenario deals...