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pro vyhledávání: '"Wang, ZI"'
Autor:
Wang, Zi-Rui
Currently, the destruction of the sequence structure in handwritten text has become one of the main bottlenecks restricting the recognition task. The typical situations include additional specific markers (the text swapping modification) and the text
Externí odkaz:
http://arxiv.org/abs/2410.11670
Optimization methods are widely employed in deep learning to identify and mitigate undesired model responses. While gradient-based techniques have proven effective for image models, their application to language models is hindered by the discrete nat
Externí odkaz:
http://arxiv.org/abs/2410.04234
Synthesizing human motions in 3D environments, particularly those with complex activities such as locomotion, hand-reaching, and human-object interaction, presents substantial demands for user-defined waypoints and stage transitions. These requiremen
Externí odkaz:
http://arxiv.org/abs/2410.03187
Autor:
Wang, Diandian, Wang, Zi-Yue
In the context of AdS/CFT, gravitational shockwaves serve as a geometric manifestation of boundary quantum chaos. We study this connection in general diffeomorphism-invariant theories involving an arbitrary number of bosonic fields. Specifically, we
Externí odkaz:
http://arxiv.org/abs/2409.19785
Autor:
Qin, Ying, Wang, Zhen-Han-Tao, Meynet, Georges, Hu, Rui-Chong, Fu, Chengjie, Shu, Xin-Wen, Wang, Zi-Yuan, Yi, Shuang-Xi, Tang, Qing-Wen, Song, Han-Feng, Liang, En-Wei
During the fourth observing run, the LIGO-Virgo-KAGRA Collaboration reported the detection of a coalescing compact binary (GW230529$_{-}$181500) with component masses estimated at $2.5-4.5\, M_\odot$ and $1.2-2.0\, M_\odot$ with 90\% credibility. Giv
Externí odkaz:
http://arxiv.org/abs/2409.14476
This paper studies the problem of distribution matching (DM), which is a fundamental machine learning problem seeking to robustly align two probability distributions. Our approach is established on a relaxed formulation, called partial distribution m
Externí odkaz:
http://arxiv.org/abs/2409.10499
Linear-in-$k$ Rashba spin-orbit coupling is crucial for achieving topological superconductivity. The wave vector dependence of this spin-orbit coupling can vary across materials, exhibiting linear, cubic, or a combination of both forms. Notably, cubi
Externí odkaz:
http://arxiv.org/abs/2408.02008
We propose a deep learning framework, DL-opt, designed to efficiently solve for optimal policies in quantifiable general equilibrium trade models. DL-opt integrates (i) a nested fixed point (NFXP) formulation of the optimization problem, (ii) automat
Externí odkaz:
http://arxiv.org/abs/2407.17731
Adversarial examples have shown a powerful ability to make a well-trained model misclassified. Current mainstream adversarial attack methods only consider one of the distortions among $L_0$-norm, $L_2$-norm, and $L_\infty$-norm. $L_0$-norm based meth
Externí odkaz:
http://arxiv.org/abs/2407.03115
Publikováno v:
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14 9959-9973 2021
Factors, such as rapid relative motion, clutter background, etc., make robust small aerial target detection for airborne infrared detection systems a challenge. Existing methods are facing difficulties when dealing with such cases. We consider that a
Externí odkaz:
http://arxiv.org/abs/2407.01278