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arXiv:2601.20574v1 Announce Type: cross Abstract: We consider the faces in pseudoline arrangements in which the pseudolines are colored with two colors. Bj\"orner, Las Vergnas, Sturmfels,...
arXiv:2601.20589v1 Announce Type: cross Abstract: Learning the dependence structure among variables in complex systems is a central problem across medical, natural, and social sciences. These...
arXiv:2601.20628v1 Announce Type: cross Abstract: Cluster analysis relates to the task of assigning objects into groups which ideally present some desirable characteristics. When a cluster...
arXiv:2601.20708v1 Announce Type: cross Abstract: As lattice gauge theories with non-trivial topological features are driven towards the continuum limit, standard Markov Chain Monte Carlo simulations...
arXiv:2601.20769v1 Announce Type: cross Abstract: Training learned image compression (LIC) models entails navigating a challenging optimization landscape defined by the fundamental trade-off between rate and...
arXiv:2601.20771v1 Announce Type: cross Abstract: Accurate forecasting of infectious disease incidence is critical for public health planning and timely intervention. While most data-driven forecasting approaches...
arXiv:2601.20780v1 Announce Type: cross Abstract: This paper proposes a novel multi-mode pinching-antenna systems (PASS) framework. Multiple data streams can be transmitted within a single waveguide...
arXiv:2601.20782v1 Announce Type: cross Abstract: Scientific computing has long relied on double precision (64-bit floating point) arithmetic to guarantee accuracy in simulations of real-world phenomena....
arXiv:2601.20819v1 Announce Type: cross Abstract: Machine learning predictions are increasingly used to supplement incomplete or costly-to-measure outcomes in fields such as biomedical research, environmental science,...
arXiv:2601.20830v1 Announce Type: cross Abstract: Modern industrial and service processes generate high-dimensional, non-Gaussian, and contamination-prone data that challenge the foundational assumptions of classical Statistical Process...
arXiv:1306.3432v5 Announce Type: replace Abstract: A class of continuous controllers termed Robust Integral of the Signum of the Error (RISE) have been published over the...
arXiv:2207.05150v2 Announce Type: replace Abstract: The Uncapacitated Facility Location (UFL) problem is one of the most fundamental clustering problems: Given a set of clients $C$...
arXiv:2208.01636v2 Announce Type: replace Abstract: Government agencies collect and manage a wide range of ever-growing datasets. While such data has the potential to support research...
arXiv:2208.06344v2 Announce Type: replace Abstract: Computer modeling and simulation is used to analyze system behavior and evaluate strategies for operating in descriptive or predictive modes....
arXiv:2211.15960v3 Announce Type: replace Abstract: The physics-informed neural operator (PINO) is a machine learning paradigm that has demonstrated promising results for learning solutions to partial...
arXiv:2305.08367v2 Announce Type: replace Abstract: Submodular function maximization is a critical building block for diverse tasks, such as document summarization, sensor placement, and image segmentation....
arXiv:2306.17544v3 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:2310.00488v4 Announce Type: replace Abstract: Optimization algorithms that seek flatter minima, such as Sharpness-Aware Minimization (SAM), are credited with improved generalization and robustness to noise....
arXiv:2310.03606v2 Announce Type: replace Abstract: This literature review aimed to compare various time-series analysis approaches utilized in forecasting COVID-19 cases in Africa. The study involved...
arXiv:2311.12086v3 Announce Type: replace Abstract: Neural Architecture Search (NAS) relies heavily on labeled data, which is labor-intensive and time-consuming to obtain. In this paper, we...
arXiv:2401.06157v2 Announce Type: replace Abstract: Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is...
arXiv:2402.01666v2 Announce Type: replace Abstract: With the development of artificial intelligence, personalized learning has attracted much attention as an integral part of intelligent education. In...
arXiv:2402.03578v3 Announce Type: replace Abstract: This paper explores multi-agent systems and identify challenges that remain inadequately addressed. By leveraging the diverse capabilities and roles of...
arXiv:2402.15769v3 Announce Type: replace Abstract: Pre-trained code models lead the era of code intelligence, with multiple models designed with impressive performance. However, one important problem,...