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arXiv:2603.03452v1 Announce Type: new Abstract: High-definition (HD) maps are crucial for autonomous vehicles, but their creation and maintenance is very costly. This motivates the idea...
arXiv:2603.03453v1 Announce Type: new Abstract: High-definition (HD) maps are important for autonomous driving, but their manual generation and maintenance is very expensive. This motivates the...
arXiv:2603.03454v1 Announce Type: new Abstract: Offline Reinforcement Learning (RL) is an emerging field of RL in which policies are learned solely from demonstrations. Within offline...
arXiv:2603.03456v1 Announce Type: new Abstract: Agentic coding agents are increasingly deployed autonomously, at scale, and over long-context horizons. Throughout an agent's lifetime, it must navigate...
arXiv:2603.03457v1 Announce Type: new Abstract: Over the last two decades, research funders have adopted Open Access (OA) mandates, with various forms and success. While some...
arXiv:2603.03459v1 Announce Type: new Abstract: We investigate when transformer MLP nonlinearity is actually necessary. A gate with $d+1$ parameters decides when to replace the full...
arXiv:2603.03462v1 Announce Type: new Abstract: The Cellular Vehicle-to-Everything (C-V2X), introduced and developed by the 3GPP, is a promising technology for the Autonomous Driving System (ADS)....
arXiv:2603.03464v1 Announce Type: new Abstract: We introduce Graph Hopfield Networks, whose energy function couples associative memory retrieval with graph Laplacian smoothing for node classification. Gradient...
arXiv:2603.03467v1 Announce Type: new Abstract: Psychotherapy delivery relies on a negotiation between patient self-reports and clinical intuition. Growing evidence for technological support of psychotherapy suggests...
arXiv:2603.03469v1 Announce Type: new Abstract: Generalization in generative modeling is defined as the ability to learn an underlying distribution from a finite dataset and produce...
arXiv:2603.03470v1 Announce Type: new Abstract: Bisynchronous FIFOs -- hardware buffers that mediate data transfer between independent clock domains without a shared global timebase -- have...
arXiv:2603.03475v1 Announce Type: new Abstract: Mathematical reasoning models are widely deployed in education, automated tutoring, and decision support systems despite exhibiting fundamental computational instabilities. We...
arXiv:2603.03479v1 Announce Type: new Abstract: Low-thrust electric propulsion missions are often designed under simplifying assumptions such as constant thrust or fixed specific impulse, neglecting the...
arXiv:2603.03480v1 Announce Type: new Abstract: We study reinforcement learning with delayed state observation, where the agent observes the current state after some random number of...
arXiv:2603.03482v1 Announce Type: new Abstract: Interactive world models continually generate video by responding to a user's actions, enabling open-ended generation capabilities. However, existing models typically...
arXiv:2603.03484v1 Announce Type: new Abstract: E-fuels are promising long-term energy carriers supporting the net-zero transition. However, the large combinatorial design-operation spaces under renewable uncertainty make...
arXiv:2603.03485v1 Announce Type: new Abstract: Recent video diffusion models have achieved impressive capabilities as large-scale generative world models. However, these models often struggle with fine-grained...
arXiv:2603.03486v1 Announce Type: new Abstract: Cyber-security systems often operate in resource-constrained environments, such as edge environments and real-time monitoring systems, where model size and inference...
arXiv:2603.03488v1 Announce Type: new Abstract: Given a graph, when can we orient the edges to satisfy local constraints at the vertices, where each vertex specifies...
arXiv:2603.03491v1 Announce Type: new Abstract: Compute-in-memory (CiM) architectures promise significant improvements in energy efficiency and throughput for deep neural network acceleration by alleviating the von...
arXiv:2603.03495v1 Announce Type: new Abstract: Navigating an environment with uncertain connectivity requires a strategic balance between minimizing the cost of traversal and seeking information to...
arXiv:2603.03497v1 Announce Type: new Abstract: This paper examines the problem of achieving "grace" when controlling dynamical systems for safety, which is defined in terms of...
arXiv:2603.03499v1 Announce Type: new Abstract: We present ROBO (Riemannian Overlapping Block Optimization), a distributed and parallel approach to multi-robot pose graph optimization (PGO) based on...
arXiv:2603.03503v1 Announce Type: new Abstract: Although high-resolution mapping of pan-Arctic sea ice with reliable corresponding uncertainty is essential for operational sea ice concentration (SIC) charting,...