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arXiv:2602.14450v1 Announce Type: cross Abstract: We investigate the use of half-precision floating-point numbers (FP16) in mixed-precision linear solvers for lattice QCD simulations. Since the emergence...
arXiv:2602.14472v1 Announce Type: cross Abstract: We study Gaussian Process Thompson Sampling (GP-TS) for sequential decision-making over compact, continuous action spaces and provide a frequentist regret...
arXiv:2602.14478v1 Announce Type: cross Abstract: We study two log-concave sampling problems: constrained sampling and composite sampling. First, we consider sampling from a target distribution with...
arXiv:2602.14479v1 Announce Type: cross Abstract: This study developed a novel formulation of conditional expectations within the framework of a jump-diffusion mean-field stochastic differential equation. We...
arXiv:2602.14537v1 Announce Type: cross Abstract: Koopman linear representations have become a popular tool for control design of nonlinear systems, yet it remains unclear when such...
arXiv:2602.14560v1 Announce Type: cross Abstract: Sonification -- the mapping of data to non-speech audio -- offers an underexplored channel for representing complex dynamical systems. We...
arXiv:2602.14575v1 Announce Type: cross Abstract: The paper treats the financial market as a communication system, using four information-theoretic assumptions to derive an idealized model with...
arXiv:2602.14584v1 Announce Type: cross Abstract: Conventional automatic word-naming recognition systems struggle to recognize words from post-stroke patients with aphasia because of disfluencies and mispronunciations, limiting...
arXiv:2602.14607v1 Announce Type: cross Abstract: Low-discrepancy designs play a central role in quasi-Monte Carlo methods and are increasingly influential in other domains such as machine...
arXiv:2602.14612v1 Announce Type: cross Abstract: Long-duration audio is increasingly common in industrial and consumer settings, yet reviewing multi-hour recordings is impractical, motivating systems that answer...
arXiv:2602.14641v1 Announce Type: cross Abstract: Biomarker-based prediction of clinical outcomes is challenging due to nonlinear relationships, correlated features, and the limited size of many medical...
arXiv:2602.14642v1 Announce Type: cross Abstract: Inverse problems and inverse design in multiphase media, i.e., recovering or engineering microstructures to achieve target macroscopic responses, require operating...
arXiv:2602.14652v1 Announce Type: cross Abstract: We investigate the optimal transport (OT) problem over networks, wherein supply and demand are conceptualized as temporal marginals governing departure...
arXiv:2602.14670v1 Announce Type: cross Abstract: Formulaic alpha factor mining is a critical yet challenging task in quantitative investment, characterized by a vast search space and...
arXiv:2602.14677v1 Announce Type: cross Abstract: Finding optimal measurement operators is crucial for the performance of quantum reservoir computers (QRCs), since they employ a fixed quantum...
arXiv:2602.14683v1 Announce Type: cross Abstract: We study majorization-minimization methods for nonnegative tensor decompositions under the $\beta$-divergence family, focusing on nonnegative CP and Tucker models. Our...
arXiv:2602.14735v1 Announce Type: cross Abstract: The performance of quantum classifiers is typically analyzed through global state distinguishability or the trainability of variational models. This study...
arXiv:2602.14785v1 Announce Type: cross Abstract: Designing a speech quality assessment (SQA) system for estimating mean-opinion-score (MOS) of multi-rate speech with varying sampling frequency (16-48 kHz)...
arXiv:2602.14816v1 Announce Type: cross Abstract: A central problem in multiagent systems is the fair assignment of objects to agents. In this paper, we initiate the...
arXiv:2602.14828v1 Announce Type: cross Abstract: Effective representations of protein sequences are widely recognized as a cornerstone of machine learning-based protein design. Yet, protein bioengineering poses...
arXiv:2602.14830v1 Announce Type: cross Abstract: In this paper, we present a detailed convergence analysis of a recently developed approximate Newton-type fully distributed optimization method for...
arXiv:2602.14833v1 Announce Type: cross Abstract: Large language models (LLMs) and multimodal models have become powerful general-purpose reasoning systems. However, radio-frequency (RF) signals, which underpin wireless...
arXiv:2602.14835v1 Announce Type: cross Abstract: Global survey research increasingly informs high-stakes decisions in AI governance and cross-cultural policy, yet no standardized metric quantifies how well...
arXiv:2602.14852v1 Announce Type: cross Abstract: Quantifying the degree of dissimilarity between two probability distributions on a finite metric space is a fundamental task in Computer...