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arXiv:2603.04221v1 Announce Type: new Abstract: The widespread adoption of the Internet of Things (IoT) has positioned smart homes as paradigmatic examples of distributed automation systems,...
arXiv:2603.04222v1 Announce Type: new Abstract: Multimodal perception enables robust autonomous driving but incurs unnecessary computational cost when all sensors remain active. This paper presents PRAM-R,...
arXiv:2603.04224v1 Announce Type: new Abstract: The ability to remove unwanted dependencies from data is crucial in various domains, including fairness, robust learning, and privacy protection....
arXiv:2603.04225v1 Announce Type: new Abstract: Marine environments present significant challenges for perception and autonomy due to dynamic surfaces, limited visibility, and complex interactions between aerial,...
arXiv:2603.04227v1 Announce Type: new Abstract: Optimizing reranking in advertising feeds is a constrained combinatorial problem, requiring simultaneous maximization of platform revenue and preservation of user...
arXiv:2603.04231v1 Announce Type: new Abstract: In this note, we test the performance of six algorithms from the family of graph-based splitting methods [SIAM J. Optim.,...
arXiv:2603.04232v1 Announce Type: new Abstract: This work introduces a data-driven, non-intrusive reduced-order modeling (ROM) framework that leverages Optimal Transport (OT) for multi-fidelity and parametric problems....
arXiv:2603.04235v1 Announce Type: new Abstract: We show that there is a one-round randomized distributed algorithm that can 2-color cycles such that the expected fraction of...
arXiv:2603.04238v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is a common way to ground language models in external documents and up-to-date information. Classical retrieval systems...
arXiv:2603.04239v1 Announce Type: new Abstract: Recent breakthroughs in Diffusion Transformers (DiTs) have revolutionized the field of visual synthesis due to their superior scalability. To facilitate...
arXiv:2603.04240v1 Announce Type: new Abstract: Pathology Foundation Models (FMs) have shown strong performance across a wide range of pathology image representation and diagnostic tasks. However,...
arXiv:2603.04241v1 Announce Type: new Abstract: Agentic AI is rapidly transitioning from research prototypes to enterprise deployments, where requirements extend to meet the software quality attributes...
arXiv:2603.04243v1 Announce Type: new Abstract: Cerebral small vessel disease (CSVD) markers, specifically enlarged perivascular spaces (EPVS) and lacunae, present a unique challenge in medical image...
arXiv:2603.04244v1 Announce Type: new Abstract: User feedback is essential for the success of mobile apps, yet what users report and what developers need often diverge....
arXiv:2603.04245v1 Announce Type: new Abstract: User feedback is crucial for the evolution of mobile apps. However, research suggests that users tend to submit uninformative, vague,...
arXiv:2603.04247v1 Announce Type: new Abstract: Hierarchical inference systems route tasks across multiple computational layers, where each node may either finalize a prediction locally or offload...
arXiv:2603.04249v1 Announce Type: new Abstract: In this paper, we introduce RoboLight, the first real-world robotic manipulation dataset capturing synchronized episodes under systematically varied lighting conditions....
arXiv:2603.04254v1 Announce Type: new Abstract: Understanding a 3D scene immediately with its exploration is essential for embodied tasks, where an agent must construct and comprehend...
arXiv:2603.04255v1 Announce Type: new Abstract: A symbolic determinant under rank-one restriction computes a polynomial of the form $\det(A_0+A_1y_1+\ldots+A_ny_n)$, where $A_0,A_1,\ldots,A_n$ are square matrices over a...
arXiv:2603.04256v1 Announce Type: new Abstract: When the color distribution of input images changes at inference, the performance of conventional neural network architectures drops considerably. A...
arXiv:2603.04257v1 Announce Type: new Abstract: Large language model (LLM) agents are fundamentally bottlenecked by finite context windows on long-horizon tasks. As trajectories grow, retaining tool...
arXiv:2603.04259v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly embedded in high-stakes workflows, where failures propagate beyond isolated model errors into systemic breakdowns...
arXiv:2603.04261v1 Announce Type: new Abstract: Evidence on the effectiveness of Man-At-The-End (MATE) software protections, such as code obfuscation, has mainly come from limited empirical research....
arXiv:2603.04265v1 Announce Type: new Abstract: Procedural planning aims to predict a sequence of actions that transforms an initial visual state into a desired goal, a...