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arXiv:2602.09188v1 Announce Type: new Abstract: As chip-to-chip silicon photonics gain traction for their bandwidth and energy efficiency, their circuit-switched nature raises a fundamental question for...
arXiv:2602.09190v1 Announce Type: new Abstract: Existing work has linked properties of a function's gradient to the difficulty of function approximation. Motivated by these insights, we...
arXiv:2602.09194v1 Announce Type: new Abstract: Deep learning recommendation systems rely on feature interaction modules to model complex user-item relationships across sparse categorical and dense features....
arXiv:2602.09196v1 Announce Type: new Abstract: As machine learning models increasingly impact society, their opaque nature poses challenges to trust and accountability, particularly in fairness contexts....
arXiv:2602.09197v1 Announce Type: new Abstract: Global protocol specifications are the starting point of top-down verification methodologies, and serve as a blueprint for synthesizing local specifications...
arXiv:2602.09198v1 Announce Type: new Abstract: In this paper, we present a thorough von Neumann stability analysis of explicit and implicit Arbitrary-Lagrangian-Eulerian (ALE) ADER discontinuous Galerkin...
arXiv:2602.09202v1 Announce Type: new Abstract: The accelerating militarization of artificial intelligence has transformed the ethics, politics, and governance of warfare. This article interrogates how AI-driven...
arXiv:2602.09203v1 Announce Type: new Abstract: Robot morphology, the form, shape, and structure of robots, is a key design space in human-robot interaction (HRI), shaping how...
arXiv:2602.09204v1 Announce Type: new Abstract: Robust navigation in changing marine environments requires autonomous systems capable of perceiving, reasoning, and acting under uncertainty. This study introduces...
arXiv:2602.09206v1 Announce Type: new Abstract: With over 3.5 million 5G base stations deployed globally, their collective energy consumption (projected to exceed 131 TWh annually) raises...
arXiv:2602.09207v1 Announce Type: new Abstract: Reinforcement learning (RL) has achieved remarkable success in a wide range of sequential decision-making problems. Recent diffusion-based policies further improve...
arXiv:2602.09209v1 Announce Type: new Abstract: Computer-vision (CV) has been used for environmental classification during gait and is often used to inform control in assistive systems;...
arXiv:2602.09213v1 Announce Type: new Abstract: Non-contact current monitoring has emerged as a prominent research focus owing to its non-intrusive characteristics and low maintenance requirements. However,...
arXiv:2602.09214v1 Announce Type: new Abstract: Uncertainty quantification (UQ) is vital for ensuring that vision-language models (VLMs) behave safely and reliably. A central challenge is to...
arXiv:2602.09216v1 Announce Type: new Abstract: Project Sidewalk is a web-based platform that enables crowdsourcing accessibility of sidewalks at city-scale by virtually walking through city streets...
arXiv:2602.09220v1 Announce Type: new Abstract: Time series forecasting is a critical task across domains such as energy, finance, and meteorology, where accurate predictions enable informed...
arXiv:2602.09222v1 Announce Type: new Abstract: Large language model (LLM) based web agents are increasingly deployed to automate complex online tasks by directly interacting with web...
arXiv:2602.09225v1 Announce Type: new Abstract: Comparing representations across neural networks is challenging because representations admit symmetries, such as arbitrary reordering of units or rotations of...
arXiv:2602.09227v1 Announce Type: new Abstract: In cooperative environments, such as in factories or assistive scenarios, it is important for a robot to communicate its intentions...
arXiv:2602.09229v1 Announce Type: new Abstract: Cosine similarity is prevalent in contrastive learning, yet it makes an implicit assumption: embedding magnitude is noise. Prior work occasionally...
arXiv:2602.09233v1 Announce Type: new Abstract: Blind room impulse response (RIR) estimation is a core task for capturing and transferring acoustic properties; yet existing methods often...
arXiv:2602.09234v1 Announce Type: new Abstract: Continual learning has become a trending topic in machine learning. Recent studies have discovered an interesting phenomenon called loss of...
arXiv:2602.09235v1 Announce Type: new Abstract: Statistical data anonymization increasingly relies on fully synthetic microdata, for which classical identity disclosure measures are less informative than an...
arXiv:2602.09236v1 Announce Type: new Abstract: Version control is critical in mechanical computer-aided design (CAD) to enable traceability, manage product variation, and support collaboration. Yet, its...