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arXiv:2603.04357v1 Announce Type: cross Abstract: This paper focuses on error thresholds for Pauli channels. We numerically compute lower bounds for the thresholds using the analytic...
arXiv:2603.04365v1 Announce Type: cross Abstract: This paper establishes a comparison theorem for the maximum eigenvalue of a sum of independent random symmetric matrices. The theorem...
arXiv:2603.04392v1 Announce Type: cross Abstract: The discovery rate of optical transients will explode to 10 million public alerts per night once the Vera C. Rubin...
arXiv:2112.04454v3 Announce Type: replace Abstract: Due to the representation limitation of the joint Q value function, multi-agent reinforcement learning methods with linear value decomposition (LVD)...
arXiv:2211.14825v3 Announce Type: replace Abstract: A geometric graph associated with a set of points $P= \{x_1, x_2, \cdots, x_n \} \subset \mathbb{R}^d$ and a fixed...
arXiv:2302.00941v3 Announce Type: replace Abstract: We propose a novel statistical learning method for multi-item auctions that incorporates credible intervals. Our approach employs nonparametric density estimation...
arXiv:2306.11011v3 Announce Type: replace Abstract: Arm introduced the Confidential Compute Architecture (CCA) in the upcoming Armv9-A architecture, enabling the support of confidential virtual machines (CVMs)...
arXiv:2306.17544v5 Announce Type: replace Abstract: A novel relative localization approach for guidance of a micro-scale Unmanned Aerial Vehicle (UAV) by a well-equipped aerial robot fusing...
arXiv:2310.04925v3 Announce Type: replace Abstract: The discovery of novel solid-state materials, such as electrocatalysts, super-ionic conductors, or photovoltaic materials, plays a critical role in addressing...
arXiv:2311.16157v2 Announce Type: replace Abstract: A fundamental challenge in diagnostic imaging is the phenomenon of topological equivalence, where benign and malignant structures share global topology...
arXiv:2312.17505v2 Announce Type: replace Abstract: Text-to-image diffusion techniques have shown exceptional capabilities in producing high-quality, dense visual predictions from open-vocabulary text. This indicates a strong...
arXiv:2401.12114v4 Announce Type: replace Abstract: Computational modeling of the melt pool dynamics in laser-based powder bed fusion metal additive manufacturing (PBF-LB/M) promises to shed light...
arXiv:2402.13952v2 Announce Type: replace Abstract: In an attempt to show that the acceptance probability of a quantum query algorithm making $q$ queries can be well-approximated...
arXiv:2403.10889v2 Announce Type: replace Abstract: List learning is a variant of supervised classification where the learner outputs multiple plausible labels for each instance rather than...
arXiv:2404.00636v4 Announce Type: replace Abstract: In this paper, we present Export3D, a one-shot 3D-aware portrait animation method that is able to control the facial expression...
arXiv:2404.01249v5 Announce Type: replace Abstract: The paper proposes FireANTs, a multi-scale Adaptive Riemannian Optimization algorithm for dense diffeomorphic image matching. Existing state-of-the-art methods for diffeomorphic...
arXiv:2404.10900v2 Announce Type: replace Abstract: The classical theory of efficient allocations of an aggregate endowment in a pure-exchange economy has hitherto primarily focused on the...
arXiv:2405.01440v3 Announce Type: replace Abstract: Reinforcement learning has emerged as an important approach for autonomous driving. A reward function is used in reinforcement learning to...
arXiv:2405.15198v3 Announce Type: replace Abstract: Deploying large language model inference remains challenging due to their high computational overhead. Early exit optimizes model inference by adaptively...
arXiv:2405.15374v2 Announce Type: replace Abstract: The proposed research aims to develop an innovative semantic query processing system that enables users to obtain comprehensive information about...
arXiv:2406.14059v3 Announce Type: replace Abstract: Tracking the solution of time-varying variational inequalities is an important problem with applications in game theory, optimization, and machine learning....
arXiv:2407.00225v4 Announce Type: replace Abstract: Unit testing is essential for software reliability, yet manual test creation is time-consuming and often neglected. Search-based software testing improves...
arXiv:2407.04593v3 Announce Type: replace Abstract: Grammatical rules in natural languages are often characterized by exceptions. How do language learners learn these exceptions to otherwise general...
arXiv:2407.13997v2 Announce Type: replace Abstract: Space-time finite-element discretizations are well-developed in many areas of science and engineering, but much work remains within the development of...