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arXiv:2601.17947v1 Announce Type: new Abstract: Mechanical properties of red blood cells (RBCs) are promising biomarkers for hematologic and systemic disease, motivating microfluidic assays that probe...
arXiv:2601.17950v1 Announce Type: new Abstract: The space of task-agnostic feature upsampling has emerged as a promising area of research to efficiently create denser features from...
arXiv:2601.17952v1 Announce Type: new Abstract: Interpretability remains a key challenge for deploying large language models (LLMs) in clinical settings such as Alzheimer's disease progression diagnosis,...
arXiv:2601.17954v1 Announce Type: new Abstract: We investigate the neural Actor Critic algorithm using shallow neural networks for both the Actor and Critic models. The focus...
arXiv:2601.17957v1 Announce Type: new Abstract: Grassroots Logic Programs (GLP) is a concurrent logic programming language in which logic variables are partitioned into paired readers and...
arXiv:2601.17958v1 Announce Type: new Abstract: Attention matrices are fundamental to transformer research, supporting a broad range of applications including interpretability, visualization, manipulation, and distillation. Yet,...
arXiv:2601.17962v1 Announce Type: new Abstract: Collaborative problem solving (CPS) is a fundamental practice in middle-school mathematics education; however, student groups frequently stall or struggle without...
arXiv:2601.17965v1 Announce Type: new Abstract: The mutual shadow area of pairs of surface regions is used for guiding the study of the spectral components and...
arXiv:2601.17966v1 Announce Type: new Abstract: Indigenous peoples across Turtle Island (North America) face disproportionate rates of disappearance and murder, a "genocide" rooted in settler-colonial violence...
arXiv:2601.17967v1 Announce Type: new Abstract: Data at the physical layer transmits via media such as copper cable, fiber optic, or wireless. Physical attack vectors exist...
arXiv:2601.17970v1 Announce Type: new Abstract: Motivated by the increasing demand for data security in decentralized federated learning (FL) and stochastic optimization, we formulate and investigate...
arXiv:2601.17971v1 Announce Type: new Abstract: Large language models (LLMs) encode rich cultural knowledge learned from diverse web-scale data, offering an unprecedented opportunity to model cultural...
arXiv:2601.17974v1 Announce Type: new Abstract: This research study analyses different types of photovoltaic (PV) energy sharing in a collective self-consumption (CSC) real-case in the Izarbel...
arXiv:2601.17975v1 Announce Type: new Abstract: AI is growing increasingly capable of automatically generating user interfaces (GenUI) from user prompts. However, designing GenUI applications that enable...
arXiv:2601.17977v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models increase representational capacity with modest computational cost, but their effectiveness in specialized domains such as medicine is...
arXiv:2601.17978v1 Announce Type: new Abstract: Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental...
arXiv:2601.17979v1 Announce Type: new Abstract: The singular value decomposition (SVD) is a powerful tool in modern numerical linear algebra, which underpins computational methods such as...
arXiv:2601.17982v1 Announce Type: new Abstract: Small language models (SLMs) struggle with complex reasoning because exploration is expensive under tight compute budgets. We introduce Semantic Diversity-Exploration-Exploitation...
arXiv:2601.17983v1 Announce Type: new Abstract: Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental...
arXiv:2601.17986v1 Announce Type: new Abstract: Training of multimodal foundation models is currently restricted to centralized data centers containing massive, aligned datasets (e.g., image-text pairs). However,...
arXiv:2601.17987v1 Announce Type: new Abstract: Deep learning networks excel at classification, yet identifying minimal architectures that reliably solve a task remains challenging. We present a...
arXiv:2601.17991v1 Announce Type: new Abstract: This paper presents a novel neuromorphic control architecture for upper-limb prostheses that combines surface electromyography (sEMG) with gaze-guided computer vision....
arXiv:2601.17993v1 Announce Type: new Abstract: This study introduces an AI-based methodology that utilizes natural language processing (NLP) to detect burnout from textual data. The approach...
arXiv:2601.17995v1 Announce Type: new Abstract: Hierarchical federated learning (HFL) has emerged as an effective paradigm to enhance link quality between clients and the server. However,...