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pro vyhledávání: '"A. Masato"'
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We study a universal approximation property of ODENet and ResNet. The ODENet is a map from an initial value to the final value of an ODE system in a finite interval. It is considered a mathematical model of a ResNet-type deep learning system. We cons
Externí odkaz:
http://arxiv.org/abs/2410.16709
Autor:
Zhu, Chenghao, Harikane, Yuichi, Ouchi, Masami, Ono, Yoshiaki, Onodera, Masato, Tang, Shenli, Isobe, Yuki, Matsuoka, Yoshiki, Kawaguchi, Toshihiro, Umeda, Hiroya, Nakajima, Kimihiko, Liang, Yongming, Xu, Yi, Zhang, Yechi, Sun, Dongsheng, Shimasaku, Kazuhiro, Greene, Jenny, Iwasawa, Kazushi, Kohno, Kotaro, Nagao, Tohru, Schulze, Andreas, Shibuya, Takatoshi, Hilmi, Miftahul, Schramm, Malte
We present deep Subaru/FOCAS spectra for two extreme emission line galaxies (EELGs) at $z\sim 1$ with strong {\sc[Oiii]}$\lambda$5007 emission lines, exhibiting equivalent widths (EWs) of $2905^{+946}_{-578}$ \AA\ and $2000^{+188}_{-159}$ \AA, compar
Externí odkaz:
http://arxiv.org/abs/2410.12198
Autor:
Nagatsuka, Masato, Sasaki, Shoichi
We present results of a lattice study of the $S$-wave and $P$-wave $DD^*$ scattering phase shifts using L\"uscher's method under the twisted boundary conditions to investigate the doubly charmed tetraquark $T_{cc}^+$ observed by the LHCb collaboratio
Externí odkaz:
http://arxiv.org/abs/2410.09815
Autor:
Hirota, Akihiko, Koda, Jin, Egusa, Fumi, Sawada, Tsuyoshi, Sakamoto, Kazushi, Heyer, Mark, Lee, Amanda M, Maeda, Fumiya, Boissier, Samuel, Calzetti, Daniela, Elmegreen, Bruce G., Harada, Nanase, Ho, Luis C., Kobayashi, Masato I. N., Kuno, Nario, Madore, Barry F., Martín, Sergio, Meyer, Jennifer Donovan, Muraoka, Kazuyuki, Watanabe, Yoshimasa
We present a catalog of clouds identified from the $^{12}$CO (1--0) data of M83, which was observed using Atacama Large Millimeter/submillimeter Array (ALMA) with a spatial resolution of $\sim$46 pc and a mass sensitivity of $\sim$10$^4$ $M_{\odot}$
Externí odkaz:
http://arxiv.org/abs/2410.05424
Modeling and estimation of the vocal tract and glottal source parameters of vowels from raw speech can be typically done by using the Auto-Regressive with eXogenous input (ARX) model and Liljencrants-Fant (LF) model with an iteration-based estimation
Externí odkaz:
http://arxiv.org/abs/2410.04704
Autonomous robot manipulation is a complex and continuously evolving robotics field. This paper focuses on data augmentation methods in imitation learning. Imitation learning consists of three stages: data collection from experts, learning model, and
Externí odkaz:
http://arxiv.org/abs/2410.04370
In ad text generation (ATG), desirable ad text is both faithful and informative. That is, it should be faithful to the input document, while at the same time containing important information that appeals to potential customers. The existing evaluatio
Externí odkaz:
http://arxiv.org/abs/2410.03839
Autor:
Miron, Marius, Keen, Sara, Liu, Jen-Yu, Hoffman, Benjamin, Hagiwara, Masato, Pietquin, Olivier, Effenberger, Felix, Cusimano, Maddie
Animal vocalization denoising is a task similar to human speech enhancement, a well-studied field of research. In contrast to the latter, it is applied to a higher diversity of sound production mechanisms and recording environments, and this higher d
Externí odkaz:
http://arxiv.org/abs/2410.03427
Autor:
Jha, Saurav, Yang, Shiqi, Ishii, Masato, Zhao, Mengjie, Simon, Christian, Mirza, Muhammad Jehanzeb, Gong, Dong, Yao, Lina, Takahashi, Shusuke, Mitsufuji, Yuki
Personalized text-to-image diffusion models have grown popular for their ability to efficiently acquire a new concept from user-defined text descriptions and a few images. However, in the real world, a user may wish to personalize a model on multiple
Externí odkaz:
http://arxiv.org/abs/2410.00700