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arXiv:2602.22066v1 Announce Type: new Abstract: Time-series foundation models (TSFMs) have achieved strong univariate forecasting through large-scale pre-training, yet effectively extending this success to multivariate forecasting...
arXiv:2602.22067v1 Announce Type: new Abstract: Grounding is a critical step in classical planning, yet it often becomes a computational bottleneck due to the exponential growth...
arXiv:2602.22068v1 Announce Type: new Abstract: We study a one-dimensional linear dispersive equation of differential order $\kappa \geq 2$ with concentrated potential of extension $\varepsilon$ with...
arXiv:2602.22070v1 Announce Type: new Abstract: Large language models are increasingly used in decision-making tasks that require them to process information from a variety of sources,...
arXiv:2602.22072v1 Announce Type: new Abstract: Theory of Mind (ToM) refers to an agent's ability to model the internal states of others. Contributing to the debate...
arXiv:2602.22073v1 Announce Type: new Abstract: Precise Event Spotting aims to localize fast-paced actions or events in videos with high temporal precision, a key task for...
arXiv:2602.22075v1 Announce Type: new Abstract: Rust is a modern programming language that guarantees memory safety and the absence of data races with a strong type...
arXiv:2602.22076v1 Announce Type: new Abstract: This paper explains the Visual Milestone Planning (VMP) method using an agile vocabulary to facilitate its adoption by agile practitioners...
arXiv:2602.22077v1 Announce Type: new Abstract: We present ViSTAR, a Virtual Skill Training system in AR that supports self-guided basketball skill practice, with feedback on balance,...
arXiv:2602.22081v1 Announce Type: new Abstract: A conflict-avoiding code (CAC) of length L and weight w is used for deterministic multiple-access without feedback. When the number...
arXiv:2602.22082v1 Announce Type: new Abstract: Research on Advanced Persistent Threats (APTs) in industrial environments requires experimental platforms that support realistic end-to-end attack emulation across converged...
arXiv:2602.22084v1 Announce Type: new Abstract: Eigenvalue and eigenvector perturbation theory is a fundamental topic in several disciplines, including numerical linear algebra, quantum physics, and related...
arXiv:2602.22085v1 Announce Type: new Abstract: Social interactions are fundamental to well-being, yet automatically detecting them in daily life-particularly using wearables-remains underexplored. Most existing systems are...
arXiv:2602.22088v1 Announce Type: new Abstract: Contact-rich manipulation demands human-like integration of perception and force feedback: vision should guide task progress, while high-frequency interaction control must...
arXiv:2602.22090v1 Announce Type: new Abstract: Large Language Models (LLMs) have revolutionized inference across diverse natural language tasks, with larger models performing better but at higher...
arXiv:2602.22091v1 Announce Type: new Abstract: Ego-centric driving videos available online provide an abundant source of visual data for autonomous driving, yet their lack of annotations...
arXiv:2602.22092v1 Announce Type: new Abstract: Chest X-ray (CXR) interpretation is hindered by the long-tailed distribution of pathologies and the open-world nature of clinical environments. Existing...
arXiv:2602.22094v1 Announce Type: new Abstract: Plans often change due to changes in the situation or our understanding of the situation. Sometimes, a feasible plan may...
arXiv:2602.22096v1 Announce Type: new Abstract: Editable high-fidelity 4D scenes are crucial for autonomous driving, as they can be applied to end-to-end training and closed-loop simulation....
arXiv:2602.22098v1 Announce Type: new Abstract: Current medical vision-language models (VLMs) process volumetric brain MRI using 2D slice-based approximations, fragmenting the spatial context required for accurate...
arXiv:2602.22100v1 Announce Type: new Abstract: Automating the assembly of wire harnesses is challenging in automotive, electrical cabinet, and aircraft production, particularly due to deformable cables...
arXiv:2602.22101v1 Announce Type: new Abstract: Many real-world applications provide a continuous stream of data that is subsequently used by machine learning models to solve regression...
arXiv:2602.22103v1 Announce Type: new Abstract: The increasing complexity and diversity of hardware accelerators in modern computing systems demand flexible, low-overhead program analysis tools. We present...
arXiv:2602.22107v1 Announce Type: new Abstract: Despite the extensive literature on training loss functions, the evaluation of generalization on the validation set remains underexplored. In this...