Zobrazeno 1 - 10
of 128 690
pro vyhledávání: '"A, Matsui"'
Autor:
Hidaka, Fuma, Matsui, Yusuke
A learned multi-dimensional index is a data structure that efficiently answers multi-dimensional orthogonal queries by understanding the data distribution using machine learning models. One of the existing problems is that the search performance sign
Externí odkaz:
http://arxiv.org/abs/2411.09205
Dynamic dispatching rules that allocate resources to tasks in real-time play a critical role in ensuring efficient operations of many automated material handling systems across industries. Traditionally, the dispatching rules deployed are typically t
Externí odkaz:
http://arxiv.org/abs/2411.02584
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:
Sato, Atsuki, Matsui, Yusuke
Bloom filter is a widely used classic data structure for approximate membership queries. Learned Bloom filters improve memory efficiency by leveraging machine learning, with the partitioned learned Bloom filter (PLBF) being among the most memory-effi
Externí odkaz:
http://arxiv.org/abs/2410.13278
Autor:
Long, Nguyen Huu Bao, Zhang, Chenyu, Shi, Yuzhi, Hirakawa, Tsubasa, Yamashita, Takayoshi, Matsui, Tohgoroh, Fujiyoshi, Hironobu
Publikováno v:
ACCV 2024
Vision Transformers with various attention modules have demonstrated superior performance on vision tasks. While using sparsity-adaptive attention, such as in DAT, has yielded strong results in image classification, the key-value pairs selected by de
Externí odkaz:
http://arxiv.org/abs/2410.08582
Autor:
Koda, Jin, Combes, Francoise, Rubio, Monica, Andersen, Morten, Bigiel, Frank, de Paz, Armando Gil, Junais, Lee, Amanda M, Meyer, Jennifer Donovan, Morokuma-Matsui, Kana, Yagi, Masafumi, Zavagno, Annie
Publikováno v:
A&A 691, A197 (2024)
The extended ultraviolet (XUV) disks of nearby galaxies show ongoing massive star formation, but their parental molecular clouds remain mostly undetected despite searches in CO(1-0) and CO(2-1). The recent detection of 23 clouds in the higher excitat
Externí odkaz:
http://arxiv.org/abs/2410.00180
This paper proposes a multi-agent reinforcement learning (MARL) approach to learn dynamic dispatching strategies, which is crucial for optimizing throughput in material handling systems across diverse industries. To benchmark our method, we developed
Externí odkaz:
http://arxiv.org/abs/2409.18435
Autor:
Matsui, Yusuke, Yokota, Tatsuya
We propose a new operator defined between two tensors, the broadcast product. The broadcast product calculates the Hadamard product after duplicating elements to align the shapes of the two tensors. Complex tensor operations in libraries like \texttt
Externí odkaz:
http://arxiv.org/abs/2409.17502
Autor:
Onikubo, Takuto, Matsui, Yusuke
Recently, text-to-image generative models have been misused to create unauthorized malicious images of individuals, posing a growing social problem. Previous solutions, such as Anti-DreamBooth, add adversarial noise to images to protect them from bei
Externí odkaz:
http://arxiv.org/abs/2409.08167
Autor:
Matsui, Chihiro, Tsuji, Naoto
Partial solvability plays an important role in the context of statistical mechanics, since it has turned out to be closely related to the emergence of quantum many-body scar states, i.e., exceptional energy eigenstates which do not obey the strong ve
Externí odkaz:
http://arxiv.org/abs/2409.03208