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arXiv:2601.21381v1 Announce Type: new Abstract: Multivariate time-series forecasting, as a typical problem in the field of time series prediction, has a wide range of applications...
arXiv:2601.21383v1 Announce Type: new Abstract: Low Earth orbit (LEO) satellites play a pivotal role in global connectivity-delivering high-speed Internet, cellular coverage, and massive IoT support....
arXiv:2601.21384v1 Announce Type: new Abstract: Network traffic forecasting plays a crucial role in intelligent network operations, but existing techniques often perform poorly when faced with...
arXiv:2601.21386v1 Announce Type: new Abstract: Objective evaluation of synthetic speech quality remains a critical challenge. Human listening tests are the gold standard, but costly and...
arXiv:2601.21387v1 Announce Type: new Abstract: Attribution and fact verification are critical challenges in natural language processing for assessing information reliability. While automated systems and Large...
arXiv:2601.21388v1 Announce Type: new Abstract: This paper presents a general framework of high-order finite difference (HFD) schemes for the tempered fractional Laplacian (TFL) based on...
arXiv:2601.21389v1 Announce Type: new Abstract: The Job-Shop Scheduling Problem (JSSP), under various forms of manufacturing uncertainty, has recently attracted considerable research attention. Most existing studies...
arXiv:2601.21390v1 Announce Type: new Abstract: In the last few years, energy efficiency has become a challenge. Not only mitigating environmental impact but reducing energy waste...
arXiv:2601.21391v1 Announce Type: new Abstract: Exploration is essential in reinforcement learning as an agent relies on trial and error to learn an optimal policy. However,...
arXiv:2601.21394v1 Announce Type: new Abstract: Robotic manipulation in unstructured environments requires reliable execution under diverse conditions, yet many state-of-the-art systems still struggle with high-dimensional action...
arXiv:2601.21400v1 Announce Type: new Abstract: Surfaces are typically represented as meshes, which can be extracted from volumetric fields via meshing or optimized directly as surface...
arXiv:2601.21403v1 Announce Type: new Abstract: In real-world data science and enterprise decision-making, critical information is often fragmented across directly queryable structured sources (e.g., SQL, CSV)...
arXiv:2601.21405v1 Announce Type: new Abstract: Aerial-ground person re-identification (AG-ReID) is fundamentally challenged by extreme viewpoint and distance discrepancies between aerial and ground cameras, which induce...
arXiv:2601.21406v1 Announce Type: new Abstract: Unified Multimodal Models (UMMs) integrate both visual understanding and generation within a single framework. Their ultimate aspiration is to create...
arXiv:2601.21407v1 Announce Type: new Abstract: Neuroscience and artificial intelligence represent distinct yet complementary pathways to general intelligence. However, amid the ongoing boom in AI research...
arXiv:2601.21408v1 Announce Type: new Abstract: With the rapid advancement of video generation models such as Veo and Wan, the visual quality of synthetic content has...
arXiv:2601.21409v1 Announce Type: new Abstract: Adaptive navigation in unfamiliar indoor environments is crucial for household service robots. Despite advances in zero-shot perception and reasoning from...
arXiv:2601.21413v1 Announce Type: new Abstract: A classical approach to the multibody systems (MBS) modeling is to use absolute coordinates, i.e., a set of (possibly redundant)...
arXiv:2601.21414v1 Announce Type: new Abstract: Training a unified language model that adapts between intuitive System 1 and deliberative System 2 remains challenging due to interference...
arXiv:2601.21416v1 Announce Type: new Abstract: The generalization capabilities of robotic manipulation policies are heavily influenced by the choice of visual representations. Existing approaches typically rely...
arXiv:2601.21418v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) achieve explicit chain-of-thought expansion by imitating deep thinking behaviors of humans, demonstrating excellent performance in complex...
arXiv:2601.21419v1 Announce Type: new Abstract: Recent advances in diffusion and flow matching models have highlighted a shift in the preferred prediction target -- moving from...
arXiv:2601.21420v1 Announce Type: new Abstract: Large language models allocate uniform computation across all tokens, ignoring that some sequences are trivially predictable while others require deep...
arXiv:2601.21421v1 Announce Type: new Abstract: Neural Radiance Fields (NeRFs) have emerged as a powerful paradigm for multi-view reconstruction, complementing classical photogrammetric pipelines based on Structure-from-Motion...