Zobrazeno 1 - 10
of 50 459
pro vyhledávání: '"Yang , Yi"'
Diffusion models have revitalized the image generation domain, playing crucial roles in both academic research and artistic expression. With the emergence of new diffusion models, assessing the performance of text-to-image models has become increasin
Externí odkaz:
http://arxiv.org/abs/2411.09449
To address the time-scale limitations in molecular dynamics (MD) simulations, numerous enhanced sampling methods have been developed to expedite the exploration of complex free energy landscapes. A commonly employed approach accelerates the sampling
Externí odkaz:
http://arxiv.org/abs/2411.09385
We developed PyQUDA, a Python wrapper for QUDA written in Cython, designed to facilitate lattice QCD calculations using the Python programming language. PyQUDA leverages the optimized linear algebra capabilities of NumPy/CuPy/PyTorch, along with the
Externí odkaz:
http://arxiv.org/abs/2411.08461
Autor:
van Steenkiste, Sjoerd, Zoran, Daniel, Yang, Yi, Rubanova, Yulia, Kabra, Rishabh, Doersch, Carl, Gokay, Dilara, Heyward, Joseph, Pot, Etienne, Greff, Klaus, Hudson, Drew A., Keck, Thomas Albert, Carreira, Joao, Dosovitskiy, Alexey, Sajjadi, Mehdi S. M., Kipf, Thomas
Current vision models typically maintain a fixed correspondence between their representation structure and image space. Each layer comprises a set of tokens arranged "on-the-grid," which biases patches or tokens to encode information at a specific sp
Externí odkaz:
http://arxiv.org/abs/2411.05927
Autor:
Zhao, Rubin, Liu, Yang, Zhang, Shiqi, Yi, Zijian, Xiao, Yanyang, Xu, Fang, Yang, Yi, Zhou, Pencheng
Neurons, with their elongated, tree-like dendritic and axonal structures, enable efficient signal integration and long-range communication across brain regions. By reconstructing individual neurons' morphology, we can gain valuable insights into brai
Externí odkaz:
http://arxiv.org/abs/2411.04715
Recently the dense Simultaneous Localization and Mapping (SLAM) based on neural implicit representation has shown impressive progress in hole filling and high-fidelity mapping. Nevertheless, existing methods either heavily rely on known scene bounds
Externí odkaz:
http://arxiv.org/abs/2411.03610
Training Data Detection (TDD) is a task aimed at determining whether a specific data instance is used to train a machine learning model. In the computer security literature, TDD is also referred to as Membership Inference Attack (MIA). Given its pote
Externí odkaz:
http://arxiv.org/abs/2411.03363
Autor:
Wang, Wenhao, Yang, Yi
Video generation models are revolutionizing content creation, with image-to-video models drawing increasing attention due to their enhanced controllability, visual consistency, and practical applications. However, despite their popularity, these mode
Externí odkaz:
http://arxiv.org/abs/2411.04709
World models and video generation are pivotal technologies in the domain of autonomous driving, each playing a critical role in enhancing the robustness and reliability of autonomous systems. World models, which simulate the dynamics of real-world en
Externí odkaz:
http://arxiv.org/abs/2411.02914
Autor:
Ravi, Aravind P., Valenti, Stefano, Dong, Yize, Hiramatsu, Daichi, Barmentloo, Stan, Jerkstrand, Anders, Bostroem, K. Azalee, Pearson, Jeniveve, Shrestha, Manisha, Andrews, Jennifer E., Sand, David J., Hosseinzadeh, Griffin, Lundquist, Michael, Hoang, Emily, Mehta, Darshana, Retamal, Nicolas Meza, Martas, Aidan, Jha, Saurabh W., Janzen, Daryl, Subrayan, Bhagya, Howell, D. Andrew, McCully, Curtis, Farah, Joseph, Newsome, Megan, Gonzalez, Estefania Padilla, Terreran, Giacomo, Andrews, Moira, Filippenko, Alexei V., Brink, Thomas G., Zheng, Weikang, Yang, Yi, Vinko, Jozsef, Wheeler, J. Craig, Smith, Nathan, Rho, Jeonghee, Konyves-Toth, Reka, Gutierrez, Claudia P.
We present supernova (SN) 2023ufx, a unique Type IIP SN with the shortest known plateau duration ($t_\mathrm{PT}$ $\sim$47 days), a luminous V-band peak ($M_{V}$ = $-$18.42 $\pm$ 0.08 mag), and a rapid early decline rate ($s1$ = 3.47 $\pm$ 0.09 mag (
Externí odkaz:
http://arxiv.org/abs/2411.02493