Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Yoshizoe, Kazuki"'
It is common practice for chemists to search chemical databases based on substructures of compounds for finding molecules with desired properties. The purpose of de novo molecular generation is to generate instead of search. Existing machine learning
Externí odkaz:
http://arxiv.org/abs/2102.04600
It is common practice to use large computational resources to train neural networks, as is known from many examples, such as reinforcement learning applications. However, while massively parallel computing is often used for training models, it is rar
Externí odkaz:
http://arxiv.org/abs/2006.10504
Data augmentation policies drastically improve the performance of image recognition tasks, especially when the policies are optimized for the target data and tasks. In this paper, we propose to optimize image recognition models and data augmentation
Externí odkaz:
http://arxiv.org/abs/2006.07965
Data augmentation methods are indispensable heuristics to boost the performance of deep neural networks, especially in image recognition tasks. Recently, several studies have shown that augmentation strategies found by search algorithms outperform ha
Externí odkaz:
http://arxiv.org/abs/1911.06987
Automatic design of organic materials requires black-box optimization in a vast chemical space. In conventional molecular design algorithms, a molecule is built as a combination of predetermined fragments. Recently, deep neural network models such as
Externí odkaz:
http://arxiv.org/abs/1710.00616
Upcoming many core processors are expected to employ a distributed memory architecture similar to currently available supercomputers, but parallel pattern mining algorithms amenable to the architecture are not comprehensively studied. We present a no
Externí odkaz:
http://arxiv.org/abs/1510.07787
We present a scalable parallel solver for numerical constraint satisfaction problems (NCSPs). Our parallelization scheme consists of homogeneous worker solvers, each of which runs on an available core and communicates with others via the global load
Externí odkaz:
http://arxiv.org/abs/1505.04542
Autor:
Chikaraishi, Makoto, Garg, Prateek, Varghese, Varun, Yoshizoe, Kazuki, Urata, Junji, Shiomi, Yasuhiro, Watanabe, Ryuki
Publikováno v:
In Transport Policy November 2020 98:91-104
We present a parallel solver for numerical constraint satisfaction problems (NCSPs) that can scale on a number of cores. Our proposed method runs worker solvers on the available cores and simultaneously the workers cooperate for the search space dist
Externí odkaz:
http://arxiv.org/abs/1411.1507
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