Zobrazeno 1 - 10
of 2 760
pro vyhledávání: '"Li, Yifei"'
Autor:
Li, Yifei, van Kampen, Erik-jan
Symmetry is an essential property in some dynamical systems that can be exploited for state transition prediction and control policy optimization. This paper develops two symmetry-integrated Reinforcement Learning (RL) algorithms based on standard De
Externí odkaz:
http://arxiv.org/abs/2407.11077
Machine learning methods for physical simulation have achieved significant success in recent years. We propose a new universal architecture based on Graph Neural Network, the Message Passing Transformer, which incorporates a Message Passing framework
Externí odkaz:
http://arxiv.org/abs/2406.06060
The development of human-robot collaboration has the ability to improve manufacturing system performance by leveraging the unique strengths of both humans and robots. On the shop floor, human operators contribute with their adaptability and flexibili
Externí odkaz:
http://arxiv.org/abs/2406.01915
Autor:
Li, Yifei, Sun, Yuchen, Ma, Pingchuan, Sifakis, Eftychios, Du, Tao, Zhu, Bo, Matusik, Wojciech
We present a novel framework to explore neural control and design of complex fluidic systems with dynamic solid boundaries. Our system features a fast differentiable Navier-Stokes solver with solid-fluid interface handling, a low-dimensional differen
Externí odkaz:
http://arxiv.org/abs/2405.14903
Autor:
Cheng, Junhao, Yin, Baiqiao, Cai, Kaixin, Huang, Minbin, Li, Hanhui, He, Yuxin, Lu, Xi, Li, Yue, Li, Yifei, Cheng, Yuhao, Yan, Yiqiang, Liang, Xiaodan
Recent advances in diffusion models can generate high-quality and stunning images from text. However, multi-turn image generation, which is of high demand in real-world scenarios, still faces challenges in maintaining semantic consistency between ima
Externí odkaz:
http://arxiv.org/abs/2404.18919
Recent technological innovations in the areas of additive manufacturing and collaborative robotics have paved the way toward realizing the concept of on-demand, personalized production on the shop floor. Additive manufacturing process can provide the
Externí odkaz:
http://arxiv.org/abs/2404.13034
A Stabilized Parametric Finite Element Method for Surface Diffusion with an Arbitrary Surface Energy
We proposed a structure-preserving stabilized parametric finite element method (SPFEM) for the evolution of closed curves under anisotropic surface diffusion with an arbitrary surface energy $\hat{\gamma}(\theta)$. By introducing a non-negative stabi
Externí odkaz:
http://arxiv.org/abs/2404.02083
Modern scientific applications are increasingly decomposable into individual functions that may be deployed across distributed and diverse cyberinfrastructure such as supercomputers, clouds, and accelerators. Such applications call for new approaches
Externí odkaz:
http://arxiv.org/abs/2403.19257
Video conferencing has caught much more attention recently. High fidelity and low bandwidth are two major objectives of video compression for video conferencing applications. Most pioneering methods rely on classic video compression codec without hig
Externí odkaz:
http://arxiv.org/abs/2402.16599
Modern generative search engines enhance the reliability of large language model (LLM) responses by providing cited evidence. However, evaluating the answer's attribution, i.e., whether every claim within the generated responses is fully supported by
Externí odkaz:
http://arxiv.org/abs/2402.15089