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arXiv:2602.05975v2 Announce Type: replace Abstract: Deep research agents have emerged as powerful systems for addressing complex queries. Meanwhile, LLM-based retrievers have demonstrated strong capability in...
arXiv:2602.06041v2 Announce Type: replace Abstract: Multi-image spatial reasoning remains challenging for current multimodal large language models (MLLMs). While single-view perception is inherently 2D, reasoning over...
arXiv:2311.17210v4 Announce Type: replace-cross Abstract: We determine sufficient conditions under which certain recursively defined functions are well defined for all real inputs. Given a function...
arXiv:2401.08468v4 Announce Type: replace-cross Abstract: Independent Component Analysis (ICA) was introduced in the 1980's as a model for Blind Source Separation (BSS), which refers to...
arXiv:2404.01392v2 Announce Type: replace-cross Abstract: The heralded exact one-way distillable secret key is equal to the largest expected rate at which perfect secret key bits...
arXiv:2405.00734v3 Announce Type: replace-cross Abstract: Cross-center data heterogeneity and annotation unreliability significantly challenge the intelligent diagnosis of diseases using brain signals. A notable example is...
arXiv:2405.16594v4 Announce Type: replace-cross Abstract: Conformal prediction methodology has recently been extended to the covariate shift setting, where the distribution of covariates differs between training...
arXiv:2407.11518v2 Announce Type: replace-cross Abstract: In this paper, we present a new ensemble-based filter method by reconstructing the analysis step of the particle filter through...
arXiv:2408.16553v3 Announce Type: replace-cross Abstract: Learning the fine-scale details of a coastal ocean simulation from a coarse representation is a challenging task. For real-world applications,...
arXiv:2412.06662v5 Announce Type: replace-cross Abstract: This paper considers the discrete-time, stochastic LQR problem with $p$ steps of disturbance preview information where $p$ is finite. We...
arXiv:2501.00382v3 Announce Type: replace-cross Abstract: This paper advances empirical demand analysis by integrating multimodal product representations derived from artificial intelligence (AI). Using a detailed dataset...
arXiv:2501.18064v2 Announce Type: replace-cross Abstract: To leverage advancements in machine learning for metallic materials design and property prediction, it is crucial to develop a data-reduced...
arXiv:2501.19390v2 Announce Type: replace-cross Abstract: Willems' fundamental lemma has recently received an impressive amount of attention from the data-driven control community. In this paper, we...
arXiv:2504.02749v2 Announce Type: replace-cross Abstract: We identify a period-4 measurement schedule for the checks of the Bacon-Shor code that fully covers spacetime with constant-weight detectors,...
arXiv:2505.16301v3 Announce Type: replace-cross Abstract: Molecular dynamics (MD) is a powerful tool for exploring the behavior of atomistic systems, but its reliance on sequential numerical...
arXiv:2506.08381v3 Announce Type: replace-cross Abstract: This paper conducts a preliminary study to investigate the feasibility of a physics-informed extreme learning machine (PIELM) for solving the...
arXiv:2506.13630v2 Announce Type: replace-cross Abstract: Effective methods for visualizing data involving multiple variables, including categorical ones, are limited. The hammock plot (Schonlau 2003) visualizes both...
arXiv:2507.04341v2 Announce Type: replace-cross Abstract: While continuous diffusion models excel in modeling continuous distributions, their application to categorical data has been less effective. Recent work...
arXiv:2507.06363v4 Announce Type: replace-cross Abstract: In recent years, artificial intelligence has significantly advanced medical image segmentation. Nonetheless, challenges remain, including efficient 3D medical image processing...
arXiv:2509.17382v3 Announce Type: replace-cross Abstract: We study matrix and tensor denoising when the underlying signal is \textbf{not} necessarily low-rank. In the tensor setting, we observe...
arXiv:2510.00244v2 Announce Type: replace-cross Abstract: With European Union initiatives mandating gender quotas on corporate boards, a key question arises: Is greater board gender diversity (BGD)...
arXiv:2510.02514v2 Announce Type: replace-cross Abstract: We introduce the Information-Estimation Metric (IEM), a novel form of distance function derived from an underlying continuous probability density over...
arXiv:2510.06796v2 Announce Type: replace-cross Abstract: Understanding the entanglement structure of local Hamiltonian ground spaces is a physically motivated problem, with applications ranging from tensor network...
arXiv:2510.11670v2 Announce Type: replace-cross Abstract: Hearts subjected to volume overload (VO) are prone to detrimental anatomical and functional changes in response to elevated mechanical loading,...