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arXiv:2602.14660v1 Announce Type: new Abstract: Proximity operations of rigid bodies, such as spacecraft rendezvous and docking, require precise tracking of both position and attitude over...
arXiv:2602.14662v1 Announce Type: new Abstract: Global solvers have emerged as a powerful paradigm for 3D vision, offering certifiable solutions to nonconvex geometric optimization problems traditionally...
arXiv:2602.14663v1 Announce Type: new Abstract: We present pseudo-differential enhanced physics-informed neural networks (PINNs), an extension of gradient enhancement but in Fourier space. Gradient enhancement of...
arXiv:2602.14664v1 Announce Type: new Abstract: An end-to-end (e2e) text-to-speech (TTS) system is a deep architecture that learns to associate a text string with acoustic speech...
arXiv:2602.14666v1 Announce Type: new Abstract: Endoluminal surgery offers a minimally invasive option for early-stage gastrointestinal and urinary tract cancers but is limited by surgical tools...
arXiv:2602.14668v1 Announce Type: new Abstract: We consider the problem of fair allocation of indivisible goods among agents with additive valuations, aiming for Best-of-Both-Worlds (BoBW) fairness:...
arXiv:2602.14672v1 Announce Type: new Abstract: We present MeFEm, a vision model based on a modified Joint Embedding Predictive Architecture (JEPA) for biometric and medical analysis...
arXiv:2602.14674v1 Announce Type: new Abstract: Gradual argumentation is a field of symbolic AI which is attracting attention for its ability to support transparent and contestable...
arXiv:2602.14675v1 Announce Type: new Abstract: We present a crowdsourced dataset for Piedmontese, an endangered Romance language of northwestern Italy. The dataset comprises 145 Italian-Piedmontese parallel...
arXiv:2602.14676v1 Announce Type: new Abstract: Emergency situations that require the evacuation of urban areas can arise from man-made causes (e.g., terrorist attacks or industrial accidents)...
arXiv:2602.14679v1 Announce Type: new Abstract: Recent advances in diffusion models have enabled powerful image editing capabilities guided by natural language prompts, unlocking new creative possibilities....
arXiv:2602.14681v1 Announce Type: new Abstract: LLM-powered Multi-Agent Systems (MAS) have emerged as an effective approach towards collaborative intelligence, and have attracted wide research interests. Among...
arXiv:2602.14682v1 Announce Type: new Abstract: Deep generative models have achieved great success in producing high-quality samples, making them a central tool across machine learning applications....
arXiv:2602.14684v1 Announce Type: new Abstract: Heterogeneity of many building materials complicates numerical modelling of structural behaviour. The material randomicity can be manifested by different values...
arXiv:2602.14687v1 Announce Type: new Abstract: Improving Sparse Autoencoders (SAEs) requires benchmarks that can precisely validate architectural innovations. However, current SAE benchmarks on LLMs are often...
arXiv:2602.14689v1 Announce Type: new Abstract: As the capabilities of large language models continue to advance, so does their potential for misuse. While closed-source models typically...
arXiv:2602.14690v1 Announce Type: new Abstract: Agentic AI coding tools with autonomous capabilities beyond conversational content generation increasingly automate repetitive and time-consuming software development tasks. Developers...
arXiv:2602.14691v1 Announce Type: new Abstract: Autonomous agents require some form of goal and plan recognition to interact in multiagent settings. Unfortunately, all existing goal recognition...
arXiv:2602.14696v1 Announce Type: new Abstract: Instruction fine-tuning of large language models (LLMs) often involves selecting a subset of instruction training data from a large candidate...
arXiv:2602.14697v1 Announce Type: new Abstract: Building agentic systems that can autonomously self-improve from experience is a longstanding goal of AI. Large language models (LLMs) today...
arXiv:2602.14699v1 Announce Type: new Abstract: This paper envisions a quantum database (Qute) that treats quantum computation as a first-class execution option. Unlike prior simulation-based methods...
arXiv:2602.14701v1 Announce Type: new Abstract: In this work we introduce methods to reduce the computational and memory costs of training deep neural networks. Our approach...
arXiv:2602.14704v1 Announce Type: new Abstract: Virtual machine placement is a crucial challenge in cloud computing for efficiently utilizing physical machine resources in data centers. Virtual...
arXiv:2602.14705v1 Announce Type: new Abstract: Temporal information has long been considered to be essential for perception. While there is extensive research on the role of...