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arXiv:2410.08314v4 Announce Type: replace Abstract: In this paper we study the Spanning Tree Congestion problem, where we are given a graph $G=(V,E)$ and are asked...
arXiv:2410.12019v2 Announce Type: replace Abstract: Modern autonomous systems with machine learning components often use uncertainty quantification to help produce assurances about system operation. However, there...
arXiv:2410.14485v5 Announce Type: replace Abstract: Artificial Neural Networks (ANNs), including fully-connected networks and transformers, are highly flexible and powerful function approximators, widely applied in fields...
arXiv:2410.14486v2 Announce Type: replace Abstract: A numerical algorithm to decompose an exact low-rank skew-symmetric tensor into a sum of elementary (rank-$1$) skew-symmetric tensors is introduced....
arXiv:2410.24201v2 Announce Type: replace Abstract: We present LingGen, a controlled text generation model that allows fine-grained control over a large number of real-valued linguistic attributes....
arXiv:2411.02057v2 Announce Type: replace Abstract: In recent years, aerial object detection has been increasingly pivotal in various earth observation applications. However, current algorithms are limited...
arXiv:2411.02334v3 Announce Type: replace Abstract: Generative diffusion models (GDMs) have recently shown great success in synthesizing multimedia signals with high perceptual quality, enabling highly efficient...
arXiv:2411.05538v2 Announce Type: replace Abstract: We consider a class of stochastic gradient optimization schemes. Assuming that the objective function is strongly convex, we prove weak...
arXiv:2411.06112v3 Announce Type: replace Abstract: Recommendation model interpretation aims to reveal the relationships between inputs, model internal representations and outputs to enhance the transparency, interpretability,...
arXiv:2411.08835v2 Announce Type: replace Abstract: As one of the most promising technologies in industry, the Digital Twin (DT) facilitates real-time monitoring and predictive analysis for...
arXiv:2411.13687v3 Announce Type: replace Abstract: Assigning a set of labels to a given text is a classification problem with many real-world applications, such as recommender...
arXiv:2411.16170v2 Announce Type: replace Abstract: Recently, large efforts have been made to design efficient linear-complexity visual Transformers. However, current linear attention models are generally unsuitable...
arXiv:2411.17782v2 Announce Type: replace Abstract: The evolving landscape of edge computing envisions platforms operating as dynamic intermediaries between application providers and edge servers (ESs), where...
arXiv:2411.18028v3 Announce Type: replace Abstract: A central approach to algorithmic derandomization is to construct probability distributions with small support that "fool" randomized algorithms, often enabling...
arXiv:2411.18624v3 Announce Type: replace Abstract: Given a single in-the-wild human photo, it remains a challenging task to reconstruct a high-fidelity 3D human model. Existing methods...
arXiv:2412.00435v2 Announce Type: replace Abstract: Large Language Models (LLMs) have opened transformative possibilities for human-robot collaboration. However, enabling real-time collaboration requires both low latency and...
arXiv:2412.17316v3 Announce Type: replace Abstract: The Rotary Position Embedding (RoPE) mechanism has become a powerful enhancement to the Transformer architecture, which enables models to capture...
arXiv:2501.01202v2 Announce Type: replace Abstract: Autism Spectrum Disorder (ASD) is a chronic neurodevelopmental condition characterized by repetitive behaviors and impairments in social and communication skills....
arXiv:2501.02729v2 Announce Type: replace Abstract: Jacobi diffusion is a representative diffusion process whose solution is bounded in a domain under certain conditions about drift and...
arXiv:2501.06510v2 Announce Type: replace Abstract: This paper proposes two cooperative optimal output tracking (COOT) algorithms based on policy iteration (PI) for discrete-time multi-agent systems with...
arXiv:2501.09493v4 Announce Type: replace Abstract: Conversational recommender systems (CRSs) integrate both recommendation and dialogue tasks, making their evaluation uniquely challenging. Existing approaches primarily assess CRS...
arXiv:2501.10688v3 Announce Type: replace Abstract: Looped Transformers have shown exceptional neural algorithmic reasoning capability in simulating traditional graph algorithms, but their application to more complex...
arXiv:2501.13736v3 Announce Type: replace Abstract: We study a quantity called discrete layered entropy, which approximates the Shannon entropy within a logarithmic gap. Compared to the...
arXiv:2501.14271v3 Announce Type: replace Abstract: Meta-learning enables models to rapidly adapt to new tasks by leveraging prior experience, but its adaptation mechanisms remain opaque, especially...