Zobrazeno 1 - 10
of 6 497
pro vyhledávání: '"Xu Tian"'
Robotic tasks often require multiple manipulators to enhance task efficiency and speed, but this increases complexity in terms of collaboration, collision avoidance, and the expanded state-action space. To address these challenges, we propose a multi
Externí odkaz:
http://arxiv.org/abs/2410.00757
Autor:
Sire, Yannick, Xu, Tian
We introduce a new parabolic flow deforming any Riemannian metric on a spin manifold by following a constrained gradient flow of the total scalar curvature. This flow is built out of the well-known Dirac-Einstein functional. We prove local well-posed
Externí odkaz:
http://arxiv.org/abs/2409.12430
Large language models rely on Supervised Fine-Tuning (SFT) to specialize in downstream tasks. Cross Entropy (CE) loss is the de facto choice in SFT, but it often leads to overfitting and limited output diversity due to its aggressive updates to the d
Externí odkaz:
http://arxiv.org/abs/2408.16673
Structure and dynamics of an active polymer on a smooth cylindrical surface are studied by Brownian dynamics simulations. The effect of active force on the polymer adsorption behavior and the combined effect of chain mobility, length N, rigidity \k{a
Externí odkaz:
http://arxiv.org/abs/2408.10677
The modeling and manipulation of 3D scenes captured from the real world are pivotal in various applications, attracting growing research interest. While previous works on editing have achieved interesting results through manipulating 3D meshes, they
Externí odkaz:
http://arxiv.org/abs/2408.07540
Autor:
Xu, Tian-liang, Qin, Chao-ran, Tang, Bin, Gao, Jin-cheng, Zhou, Jiankang, Chen, Kang, Zhang, Tian Hui, Tian, Wen-de
It has been supposed that the interplay of elasticity and activity plays a key role in triggering the non-equilibrium behaviors in biological systems. However, the experimental model system is missing to investigate the spatiotemporally dynamical phe
Externí odkaz:
http://arxiv.org/abs/2407.20610
In this study, we introduce a novel approach in quantum field theories to estimate the action using the artificial neural networks (ANNs). The estimation is achieved by learning on system configurations governed by the Boltzmann factor, $e^{-S}$ at d
Externí odkaz:
http://arxiv.org/abs/2405.10493
In this paper we investigate the existence of singular solutions to the conformal Dirac-Einstein system. Because of its conformal invariance, there are many similarities with the classical construction of singular solutions for the Yamabe problem. We
Externí odkaz:
http://arxiv.org/abs/2403.13984
3D Gaussian splatting, emerging as a groundbreaking approach, has drawn increasing attention for its capabilities of high-fidelity reconstruction and real-time rendering. However, it couples the appearance and geometry of the scene within the Gaussia
Externí odkaz:
http://arxiv.org/abs/2403.10050
Natural Medicinal Materials (NMMs) have a long history of global clinical applications and a wealth of records and knowledge. Although NMMs are a major source for drug discovery and clinical application, the utilization and sharing of NMM knowledge f
Externí odkaz:
http://arxiv.org/abs/2401.00020