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arXiv:2601.11231v2 Announce Type: replace Abstract: We consider the problem of adaptively monitoring a wildfire front using a mobile agent (e.g., a drone), whose trajectory determines...
arXiv:2601.13040v2 Announce Type: replace Abstract: While transistor density is still increasing, clock speeds are not, motivating the search for new parallel architectures. One approach is...
arXiv:2601.13372v3 Announce Type: replace Abstract: Despite being regarded as a significant step toward regulating Artificial Intelligence (AI) systems and its emphasis on fundamental rights, the...
arXiv:2601.13851v2 Announce Type: replace Abstract: Self-Organizing Maps (SOMs) provide topology-preserving projections of high-dimensional data, yet their use as generative models remains largely unexplored. We show...
arXiv:2601.14252v3 Announce Type: replace Abstract: We study zero-error class identification under constrained observations with three resources: tag rate $L$ (bits per entity), identification cost $W$...
arXiv:2601.14706v2 Announce Type: replace Abstract: In this paper, we present LookBench (We use the term "look" to reflect retrieval that mirrors how people shop --...
arXiv:2601.15599v3 Announce Type: replace Abstract: Modern business environments demand continuous reconfiguration of cross-functional processes, yet most enterprise systems remain organized around siloed departments, rigid workflows,...
arXiv:2601.16210v2 Announce Type: replace Abstract: Discrete video VAEs underpin modern text-to-video generation and video understanding systems, yet existing tokenizers typically learn visual codebooks at a...
arXiv:2601.16449v2 Announce Type: replace Abstract: Understanding human emotions from multimodal signals poses a significant challenge in affective computing and human-robot interaction. While multimodal large language...
arXiv:2601.17074v2 Announce Type: replace Abstract: The accurate estimation of Arctic snow depth remains a critical time-varying inverse problem due to the extreme scarcity and noise...
arXiv:2601.17258v2 Announce Type: replace Abstract: Video Anomaly Understanding (VAU) is a novel task focused on describing unusual occurrences in videos. Despite growing interest, the evaluation...
arXiv:2601.17336v2 Announce Type: replace Abstract: Automated Kellgren--Lawrence (KL) grading from knee radiographs is challenging due to subtle structural changes, long-range anatomical dependencies, and ambiguity near...
arXiv:2601.17354v3 Announce Type: replace Abstract: Efficient and high-fidelity 3D scene modeling is a long-standing pursuit in computer graphics. While recent 3D Gaussian Splatting (3DGS) methods...
arXiv:2601.17508v2 Announce Type: replace Abstract: We consider the permanent of a square matrix with non-negative entries. A tractable approximation is given by the so-called Bethe...
arXiv:2601.18467v2 Announce Type: replace Abstract: Deep research agents have shown remarkable potential in handling long-horizon tasks. However, state-of-the-art performance typically relies on online reinforcement learning...
arXiv:2601.18650v2 Announce Type: replace Abstract: Machine unlearning, which aims to efficiently remove the influence of specific data from trained models, is crucial for upholding data...
arXiv:2601.18696v3 Announce Type: replace Abstract: Hardware trojans are malicious circuits which compromise the functionality and security of an integrated circuit (IC). These circuits are manufactured...
arXiv:2601.18936v2 Announce Type: replace Abstract: We study a bi-level online provisioning and scheduling problem motivated by network resource allocation, where provisioning decisions are made at...
arXiv:2601.19657v4 Announce Type: replace Abstract: Diffusion Language Models (DLMs) have emerged as a compelling alternative to autoregressive approaches, enabling parallel text generation with competitive performance....
arXiv:2601.21315v2 Announce Type: replace Abstract: Unsupervised domain adaptation (UDA) is a statistical learning problem when the distribution of training (source) data is different from that...
arXiv:2601.21363v3 Announce Type: replace Abstract: Reinforcement learning (RL) is widely used for humanoid control, with on-policy methods such as Proximal Policy Optimization (PPO) enabling robust...
arXiv:2601.21468v3 Announce Type: replace Abstract: Long-horizon agentic reasoning necessitates effectively compressing growing interaction histories into a limited context window. Most existing memory systems serialize history...
arXiv:2601.22853v2 Announce Type: replace Abstract: Multimodal deep learning (MDL) has achieved remarkable success across various domains, yet its practical deployment is often hindered by incomplete...
arXiv:2602.00774v2 Announce Type: replace Abstract: Against the backdrop of the global green transition and "dual carbon" goals, mining industry chain enterprises are pivotal entities in...