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arXiv:2404.06106v2 Announce Type: replace Abstract: Empirical studies have revealed low dimensional structures in the eigenspectra of weights, Hessians, gradients, and feature vectors of deep networks,...
arXiv:2404.14019v2 Announce Type: replace Abstract: Existing brain tumor segmentation methods usually utilize multiple Magnetic Resonance Imaging (MRI) modalities in brain tumor images for segmentation, which...
arXiv:2405.03251v2 Announce Type: replace Abstract: The softmax activation function plays a crucial role in the success of large language models (LLMs), particularly in the self-attention...
arXiv:2405.16411v3 Announce Type: replace Abstract: Tensor Attention, a multi-view attention that is able to capture high-order correlations among multiple modalities, can overcome the representational limitations...
arXiv:2406.09965v2 Announce Type: replace Abstract: In the Seat Arrangement problem the goal is to allocate agents to vertices in a graph such that the resulting...
arXiv:2407.00449v5 Announce Type: replace Abstract: A fully tensorial theoretical framework for hypercomplex-valued neural networks is presented. The proposed approach enables neural network architectures to operate...
arXiv:2407.03473v2 Announce Type: replace Abstract: Previous discussions have highlighted the need for generative AI tools to become more culturally sensitive, yet often neglect the complexities...
arXiv:2407.09386v3 Announce Type: replace Abstract: Neural radiance fields, or NeRFs, have become the de facto approach for high-quality view synthesis from a collection of images...
arXiv:2407.12138v2 Announce Type: replace Abstract: This work presents a framework for monocular 6D pose estimation of surgical instruments in open surgery, addressing challenges such as...
arXiv:2407.13170v2 Announce Type: replace Abstract: Despite recent strides made by AI in image processing, the issue of mixed exposure, pivotal in many real-world scenarios like...
arXiv:2407.16300v3 Announce Type: replace Abstract: CXL (Compute Express Link) is an emerging open industry-standard interconnect between processing and memory devices that is expected to revolutionize...
arXiv:2408.00450v3 Announce Type: replace Abstract: In the present work, we focus on the space-time isogeometric discretization of a parabolic problem with a nonlocal diffusion coefficient....
arXiv:2408.08055v5 Announce Type: replace Abstract: Neural CDEs provide a natural way to process the temporal evolution of irregular time series. The number of function evaluations...
arXiv:2408.09650v2 Announce Type: replace Abstract: Low-light image enhancement remains a persistent challenge in computer vision, where state-of-the-art models are often hampered by hardware constraints and...
arXiv:2408.11494v4 Announce Type: replace Abstract: Large Language Models (LLMs) have significantly advanced artificial intelligence, excelling in numerous tasks. Although the functionality of a model is...
arXiv:2408.11601v3 Announce Type: replace Abstract: In recent years, the widespread informatization and rapid data explosion have increased the demand for high-performance heterogeneous systems that integrate...
arXiv:2408.17425v3 Announce Type: replace Abstract: This article introduces a class of efficiently computable null patterns for tensor data. The class includes familiar patterns such as...
arXiv:2409.02588v2 Announce Type: replace Abstract: The identification of DNA-binding proteins (DBPs) is essential due to their significant impact on various biological activities. Understanding the mechanisms...
arXiv:2409.07314v2 Announce Type: replace Abstract: While Large Language Models (LLMs) achieve superhuman performance on standardized medical licensing exams, these static benchmarks have become saturated and...
arXiv:2409.08746v4 Announce Type: replace Abstract: This work presents a finite element method for a modified Poisson-Nernst-Planck/Navier-Stokes (PNP/NS) model under the mechanical equilibrium, developed for compressible...
arXiv:2409.09590v2 Announce Type: replace Abstract: This article investigates the influential role of flexible antenna array curvature on the performance of 6G communication systems with carrier...
arXiv:2409.09899v2 Announce Type: replace Abstract: This article presents a complete semantic scene understanding workflow using only a single 2D lidar. This fills the gap in...
arXiv:2409.12680v3 Announce Type: replace Abstract: In fine-grained road scene understanding, semantic segmentation plays a crucial role in enabling vehicles to perceive and comprehend their surroundings....
arXiv:2409.14506v4 Announce Type: replace Abstract: We introduce an interactive LLM-based framework designed to enhance the autonomy and robustness of domestic robots, targeting embodied intelligence. Our...