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arXiv:2602.13413v1 Announce Type: new Abstract: We develop a worst-case complexity theory for stochastically preconditioned stochastic gradient descent (SPSGD) and its accelerated variants under heavy-tailed noise,...
arXiv:2602.13415v1 Announce Type: new Abstract: We executed 24,000 search queries in 243 countries, generating 2.8 million AI and traditional search results in 2024 and 2025....
arXiv:2602.13416v1 Announce Type: new Abstract: The proliferation of data-driven models in weather and climate sciences has marked a significant paradigm shift, with advanced models demonstrating...
arXiv:2602.13418v1 Announce Type: new Abstract: Does text have an intrinsic curvature? Language is increasingly modeled in curved geometries - hyperbolic spaces for hierarchy, mixed-curvature manifolds...
arXiv:2602.13420v1 Announce Type: new Abstract: Quantum low-density parity-check (QLDPC) codes are a leading approach to quantum error correction, yet conventional belief propagation (BP) decoders often...
arXiv:2602.13422v1 Announce Type: new Abstract: The \textsc{Tournament Fixing Problem} (TFP) asks whether a knockout tournament can be scheduled to guarantee that a given player $v^*$...
arXiv:2602.13424v1 Announce Type: new Abstract: Worker-Centered Design (WCD) has gained prominence over the past decade, offering researchers and practitioners ways to engage worker agency and...
arXiv:2602.13427v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in settings where inducing a bias toward a certain topic can have significant...
arXiv:2602.13430v1 Announce Type: new Abstract: Chest X-ray (CXR) classification in clinical practice is often limited by imperfect supervision, arising from (i) extreme long-tailed multi-label disease...
arXiv:2602.13433v1 Announce Type: new Abstract: Target disambiguation is crucial in resolving input ambiguity in augmented reality (AR), especially for queries over distant objects or cluttered...
arXiv:2602.13434v1 Announce Type: new Abstract: Rowhammer is a well-studied DRAM phenomenon wherein multiple activations to a given row can cause bit flips in adjacent rows....
arXiv:2602.13436v1 Announce Type: new Abstract: Mechanically characterizing the human-machine interface is essential to understanding user behavior and optimizing wearable robot performance. This interface has been...
arXiv:2602.13439v1 Announce Type: new Abstract: Collaborative perception in Internet of Vehicles (IoV) aggregates multi-vehicle observations for broader scene coverage and improved decision-making. However, fusion quality...
arXiv:2602.13440v1 Announce Type: new Abstract: Autonomous agents such as indoor drones must learn new object classes in real-time while limiting catastrophic forgetting, motivating Class-Incremental Learning...
arXiv:2602.13444v1 Announce Type: new Abstract: Recent vision-language-action (VLA) models can generate plausible end-effector motions, yet they often fail in long-horizon, contact-rich tasks because the underlying...
arXiv:2602.13446v1 Announce Type: new Abstract: An end-to-end autoencoder (AE) framework is developed for downlink non-orthogonal multiple access (NOMA) over Rayleigh fading channels, which learns interference-aware...
arXiv:2602.13449v1 Announce Type: new Abstract: Deterministic black-box polynomial identity testing (PIT) for read-once oblivious algebraic branching programs (ROABPs) is a central open problem in algebraic...
arXiv:2602.13451v1 Announce Type: new Abstract: Can competition among misaligned AI providers yield aligned outcomes for a diverse population of users, and what role does model...
arXiv:2602.13452v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly proposed for crisis preparedness and response, particularly for multilingual communication. However, their suitability for...
arXiv:2602.13454v1 Announce Type: new Abstract: Real-world power distribution data are often inaccessible due to privacy and security concerns, highlighting the need for tools for generating...
arXiv:2602.13455v1 Announce Type: new Abstract: The rise of digital technology has dramatically increased the potential for cyberbullying and online abuse, necessitating enhanced measures for detection...
arXiv:2602.13457v1 Announce Type: new Abstract: This paper presents a learning-based framework for estimating pursuer parameters in turn-rate-limited pursuit-evasion scenarios using sacrificial agents. Each sacrificial agent...
arXiv:2602.13458v1 Announce Type: new Abstract: Large-scale communities of AI agents are becoming increasingly prevalent, creating new environments for agent-agent social interaction. Prior work has examined...
arXiv:2602.13460v1 Announce Type: new Abstract: Differential Privacy is the gold standard in privacy-preserving data analysis. This paper addresses the challenge of producing a differentially edge-private...