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arXiv:2502.17457v2 Announce Type: replace-cross Abstract: High-Density surface Electromyography (HDsEMG) has emerged as a pivotal resource for Human-Computer Interaction (HCI), offering direct insights into muscle activities...
arXiv:2503.04071v4 Announce Type: replace-cross Abstract: Decision makers routinely use constrained optimization technology to plan and operate complex systems like global supply chains or power grids....
arXiv:2504.18310v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used to provide health advice, yet evidence on how their accuracy varies across languages,...
arXiv:2505.06646v3 Announce Type: replace-cross Abstract: Deep learning for radiologic image analysis is a rapidly growing field in biomedical research and is likely to become a...
arXiv:2505.08125v3 Announce Type: replace-cross Abstract: Federated Learning has gained traction in privacy-sensitive collaborative environments, with local SGD emerging as a key optimization method in decentralized...
arXiv:2505.16404v2 Announce Type: replace-cross Abstract: In practical application of speech codecs, a multitude of factors such as the quality of the radio connection, limiting hardware...
arXiv:2505.22554v5 Announce Type: replace-cross Abstract: Effective feature selection is critical for robust and interpretable predictive modeling in medicine, especially when risk factors matter most in...
arXiv:2505.24270v2 Announce Type: replace-cross Abstract: We study the modulated Korteweg-de~Vries equation (KdV) on the circle with a time non-homogeneous modulation acting on the linear dispersion...
arXiv:2506.01666v2 Announce Type: replace-cross Abstract: Efficiently compiling quantum operations remains a major bottleneck in scaling quantum computing. Today's state-of-the-art methods achieve low compilation error by...
arXiv:2506.16332v2 Announce Type: replace-cross Abstract: Quantum reservoir computing uses the dynamics of quantum systems to process temporal data, making it particularly well-suited for machine learning...
arXiv:2507.00407v2 Announce Type: replace-cross Abstract: Accurate molecular property predictions require 3D geometries, which are typically obtained using expensive methods such as density functional theory (DFT)....
arXiv:2507.05306v3 Announce Type: replace-cross Abstract: We consider the multinomial logistic bandit problem in which a learner interacts with an environment by selecting actions to maximize...
arXiv:2507.19369v5 Announce Type: replace-cross Abstract: In this work, we address the problem of binaural target-speaker extraction in the presence of multiple simultane-ous talkers. We propose...
arXiv:2508.16298v5 Announce Type: replace-cross Abstract: We develop a GPU-accelerated hybrid quantum Monte Carlo (QMC) algorithm to solve the fundamental yet difficult problem of $U(1)$ gauge...
arXiv:2509.02060v3 Announce Type: replace-cross Abstract: Peptide self-assembly prediction offers a powerful bottom-up strategy for designing biocompatible, low-toxicity materials for large-scale synthesis in a broad range...
arXiv:2510.08974v2 Announce Type: replace-cross Abstract: Estimating posteriors and the associated model evidences, with desired accuracy and affordable computational cost, is a core issue of Bayesian...
arXiv:2510.09143v2 Announce Type: replace-cross Abstract: In this paper we consider the multiparty equality problem in graphs, where every vertex of a graph $G$ is given...
arXiv:2510.09736v2 Announce Type: replace-cross Abstract: The Mar Menor, Europe's largest coastal lagoon, located in Spain, has undergone severe eutrophication crises. Monitoring chlorophyll-a (Chl-a) is essential...
arXiv:2510.20954v2 Announce Type: replace-cross Abstract: Graphons, as limits of graph sequences, provide an operator-theoretic framework for analyzing the asymptotic behavior of graph neural operators. Spectral...
arXiv:2510.24967v2 Announce Type: replace-cross Abstract: Newton's method may exhibit slower convergence than vanilla Gradient Descent in its initial phase on strongly convex problems. Classical Newton-type...
arXiv:2511.10832v2 Announce Type: replace-cross Abstract: The goal of quantum channel discrimination and estimation is to determine the identity of an unknown channel from a discrete...
arXiv:2512.04795v2 Announce Type: replace-cross Abstract: Let $C_{s,t}$ be the complete bipartite geometric graph, with $s$ and $t$ vertices on two distinct parallel lines respectively, and...
arXiv:2512.07329v4 Announce Type: replace-cross Abstract: Transition state or minimum energy path finding methods constitute a routine component of the computational chemistry toolkit. Standard analysis involves...
arXiv:2512.07770v2 Announce Type: replace-cross Abstract: Conformal prediction provides a pivotal and flexible technique for uncertainty quantification by constructing prediction sets with a predefined coverage rate....