Zobrazeno 1 - 10
of 35 529
pro vyhledávání: '"Kanamori"'
Publikováno v:
Nanophotonics, Vol 11, Iss 9, Pp 2065-2074 (2022)
While optical systems using terahertz wave are expected to achieve beneficial applications, at present, the materials of the optical elements that compose them must be selected from limited choices. In this study, we propose a three-dimensional bulk
Externí odkaz:
https://doaj.org/article/e4f457560e534c4587c172c62b39e585
The transverse momentum dependent (TMD) soft function and Collins-Soper (CS) kernel may be obtained by formulating the Wilson line in terms of auxiliary one-dimensional fermion fields on the lattice. Our computation takes place in the region of the l
Externí odkaz:
http://arxiv.org/abs/2412.12645
Autor:
Ward, David, Aoki, Sinya, Aoki, Yasumichi, Fukaya, Hidenori, Hashimoto, Shoji, Kanamori, Issaku, Kaneko, Takashi, Goswami, Jishnu, Zhang, Yu
We report on the ongoing study of symmetry of $N_f=2$ QCD around the critical temperature. Our simulations of $N_f = 2$ QCD employ the M\"obius domain-wall fermion action with residual mass $\sim 1\mbox{MeV}$ or less, maintaining a good chiral symmet
Externí odkaz:
http://arxiv.org/abs/2412.06574
Relighting of human images enables post-photography editing of lighting effects in portraits. The current mainstream approach uses neural networks to approximate lighting effects without explicitly accounting for the principle of physical shading. As
Externí odkaz:
http://arxiv.org/abs/2411.00356
This paper studies stable learning methods for generative models that enable high-quality data generation. Noise injection is commonly used to stabilize learning. However, selecting a suitable noise distribution is challenging. Diffusion-GAN, a recen
Externí odkaz:
http://arxiv.org/abs/2410.20780
In statistical inference, we commonly assume that samples are independent and identically distributed from a probability distribution included in a pre-specified statistical model. However, such an assumption is often violated in practice. Even an un
Externí odkaz:
http://arxiv.org/abs/2410.20760
Generalizable neural radiance field (NeRF) enables neural-based digital human rendering without per-scene retraining. When combined with human prior knowledge, high-quality human rendering can be achieved even with sparse input views. However, the in
Externí odkaz:
http://arxiv.org/abs/2410.12242
Autor:
Irobe, Hiroo, Aoki, Wataru, Yamazaki, Kimihiro, Zhang, Yuhui, Nakagawa, Takumi, Waida, Hiroki, Wada, Yuichiro, Kanamori, Takafumi
Advancing defensive mechanisms against adversarial attacks in generative models is a critical research topic in machine learning. Our study focuses on a specific type of generative models - Variational Auto-Encoders (VAEs). Contrary to common beliefs
Externí odkaz:
http://arxiv.org/abs/2407.18632
This paper proposes a new algorithm for learning accurate tree-based models while ensuring the existence of recourse actions. Algorithmic Recourse (AR) aims to provide a recourse action for altering the undesired prediction result given by a model. T
Externí odkaz:
http://arxiv.org/abs/2406.01098
Achieving aesthetically pleasing photography necessitates attention to multiple factors, including composition and capture conditions, which pose challenges to novices. Prior research has explored the enhancement of photo aesthetics post-capture thro
Externí odkaz:
http://arxiv.org/abs/2405.16443