Zobrazeno 1 - 10
of 987
pro vyhledávání: '"Nguyen, Hieu P."'
This paper introduces a novel one-hop sub-query result cache for processing graph read transactions, gR-Txs, in a graph database system. The one-hop navigation is from a vertex using either its in-coming or out-going edges with selection predicates t
Externí odkaz:
http://arxiv.org/abs/2412.04698
Autor:
Nguyen, Nhan Thanh, Nguyen, Van-Dinh, Nguyen, Hieu V., Ngo, Hien Quoc, Swindlehurst, A. Lee, Juntti, Markku
Integrated sensing and communications (ISAC) is envisioned as a key feature in future wireless communications networks. Its integration with massive multiple-input-multiple-output (MIMO) techniques promises to leverage substantial spatial beamforming
Externí odkaz:
http://arxiv.org/abs/2411.10723
Autor:
Garmroudi, Fabian, Serhiienko, Illia, Parzer, Michael, Ghosh, Sanyukta, Ziolkowski, Pawel, Oppitz, Gregor, Nguyen, Hieu Duy, Bourgès, Cédric, Hattori, Yuya, Riss, Alexander, Steyrer, Sebastian, Rogl, Gerda, Rogl, Peter, Schafler, Erhard, Kawamoto, Naoyuki, Müller, Eckhard, Bauer, Ernst, de Boor, Johannes, Mori, Takao
Decoupling charge and heat transport is essential for optimizing thermoelectric materials. Strategies to inhibit lattice-driven heat transport, however, also compromise carrier mobility, limiting the performance of most thermoelectrics, including Fe$
Externí odkaz:
http://arxiv.org/abs/2410.07785
As the deployment of large language models (LLMs) expands, there is an increasing demand for personalized LLMs. One method to personalize and guide the outputs of these models is by assigning a persona -- a role that describes the expected behavior o
Externí odkaz:
http://arxiv.org/abs/2409.11636
The paper explores a new extremality model involving collections of arbitrary families of sets. We demonstrate its applicability to set-valued optimization problems with general preferences, weakening the assumptions of the known results and streamli
Externí odkaz:
http://arxiv.org/abs/2407.20473
Autor:
Nguyen, Thien-Qua T., Nguyen, Hieu-Nghia, Bui, Thanh-Hieu, Nguyen-Tat, Thien B., Ngo, Vuong M.
This research presents an enhanced approach for precise segmentation of brain tumor masses in magnetic resonance imaging (MRI) using an advanced 3D-UNet model combined with a Context Transformer (CoT). By architectural expansion CoT, the proposed mod
Externí odkaz:
http://arxiv.org/abs/2407.08470
We introduce HouseCrafter, a novel approach that can lift a floorplan into a complete large 3D indoor scene (e.g., a house). Our key insight is to adapt a 2D diffusion model, which is trained on web-scale images, to generate consistent multi-view col
Externí odkaz:
http://arxiv.org/abs/2406.20077
Intrinsic capability to continuously learn a changing data stream is a desideratum of deep neural networks (DNNs). However, current DNNs suffer from catastrophic forgetting, which hinders remembering past knowledge. To mitigate this issue, existing C
Externí odkaz:
http://arxiv.org/abs/2406.17381
Many recent studies have investigated social biases in LLMs but brand bias has received little attention. This research examines the biases exhibited by LLMs towards different brands, a significant concern given the widespread use of LLMs in affected
Externí odkaz:
http://arxiv.org/abs/2406.13997
Learning conditional distributions is challenging because the desired outcome is not a single distribution but multiple distributions that correspond to multiple instances of the covariates. We introduce a novel neural entropic optimal transport meth
Externí odkaz:
http://arxiv.org/abs/2406.02317