Zobrazeno 1 - 10
of 68 421
pro vyhledávání: '"A, Yokota"'
Autor:
Kanada, Ayato, Takahashi, Ryo, Hayashi, Keito, Hosaka, Ryusuke, Yukita, Wakako, Nakashima, Yasutaka, Yokota, Tomoyuki, Someya, Takao, Kamezaki, Mitsuhiro, Kawahara, Yoshihiro, Yamamoto, Motoji
Bio-inspired multi-joint snake robots offer the advantages of terrain adaptability due to their limbless structure and high flexibility. However, a series of dozens of motor units in typical multiple-joint snake robots results in a heavy body structu
Externí odkaz:
http://arxiv.org/abs/2411.13916
Autor:
The MEG II collaboration, Afanaciev, K., Baldini, A. M., Ban, S., Benmansour, H., Boca, G., Cattaneo, P. W., Cavoto, G., Cei, F., Chiappini, M., Corvaglia, A., Maso, G. Dal, De Bari, A., De Gerone, M., Barusso, L. Ferrari, Francesconi, M., Galli, L., Gallucci, G., Gatti, F., Gerritzen, L., Grancagnolo, F., Grandoni, E. G., Grassi, M., Grigoriev, D. N., Hildebrandt, M., Ignatov, F., Ikeda, F., Iwamoto, T., Karpov, S., Kettle, P. -R., Khomutov, N., Kolesnikov, A., Kravchuk, N., Krylov, V., Kuchinskiy, N., Leonetti, F., Li, W., Malyshev, V., Matsushita, A., Meucci, M., Mihara, S., Molzon, W., Mori, T., Nicolò, D., Nishiguchi, H., Ochi, A., Ootani, W., Oya, A., Palo, D., Panareo, M., Papa, A., Pettinacci, V., Popov, A., Renga, F., Ritt, S., Rossella, M., Scarpellini, A. Rozhdestvensky. S., Schwendimann, P., Signorelli, G., Takahashi, M., Uchiyama, Y., Venturini, A., Vitali, B., Voena, C., Yamamoto, K., Yokota, R., Yonemoto, T.
The observation of a resonance structure in the opening angle of the electron-positron pairs in the $^{7}$Li(p,\ee) $^{8}$Be reaction was claimed and interpreted as the production and subsequent decay of a hypothetical particle (X17). Similar excesse
Externí odkaz:
http://arxiv.org/abs/2411.07994
Large Language Models (LLMs) have attracted significant attention due to their human-like language understanding and generation capabilities, as well as their applicability across various domains. These models, characterized by their massive scale an
Externí odkaz:
http://arxiv.org/abs/2411.08719
In large language model (LLM) training, several parallelization strategies, including Tensor Parallelism (TP), Pipeline Parallelism (PP), Data Parallelism (DP), as well as Sequence Parallelism (SP) and Context Parallelism (CP), are employed to distri
Externí odkaz:
http://arxiv.org/abs/2411.06465
Autor:
Cong, Bai, Daheim, Nico, Shen, Yuesong, Cremers, Daniel, Yokota, Rio, Khan, Mohammad Emtiyaz, Möllenhoff, Thomas
We show that variational learning can significantly improve the accuracy and calibration of Low-Rank Adaptation (LoRA) without a substantial increase in the cost. We replace AdamW by the Improved Variational Online Newton (IVON) algorithm to finetune
Externí odkaz:
http://arxiv.org/abs/2411.04421
Autor:
Nakano, Hiroyoshi, Yokota, Kazuma
In fluids under temperature gradients, long-range correlations (LRCs) emerge generically, leading to enhanced density fluctuations. This phenomenon, characterized by the $\boldsymbol{q}^{-4}$ divergence in the static structure factor (where $\boldsym
Externí odkaz:
http://arxiv.org/abs/2411.04416
Autor:
Tobaben, Marlon, Souibgui, Mohamed Ali, Tito, Rubèn, Nguyen, Khanh, Kerkouche, Raouf, Jung, Kangsoo, Jälkö, Joonas, Kang, Lei, Barsky, Andrey, d'Andecy, Vincent Poulain, Joseph, Aurélie, Muhamed, Aashiq, Kuo, Kevin, Smith, Virginia, Yamasaki, Yusuke, Fukami, Takumi, Niwa, Kenta, Tyou, Iifan, Ishii, Hiro, Yokota, Rio, N, Ragul, Kutum, Rintu, Llados, Josep, Valveny, Ernest, Honkela, Antti, Fritz, Mario, Karatzas, Dimosthenis
The Privacy Preserving Federated Learning Document VQA (PFL-DocVQA) competition challenged the community to develop provably private and communication-efficient solutions in a federated setting for a real-life use case: invoice processing. The compet
Externí odkaz:
http://arxiv.org/abs/2411.03730
Local learning, which trains a network through layer-wise local targets and losses, has been studied as an alternative to backpropagation (BP) in neural computation. However, its algorithms often become more complex or require additional hyperparamet
Externí odkaz:
http://arxiv.org/abs/2411.02001
Autor:
Miyagawa, Taiki, Yokota, Takeru
We propose the first learning scheme for functional differential equations (FDEs). FDEs play a fundamental role in physics, mathematics, and optimal control. However, the numerical analysis of FDEs has faced challenges due to its unrealistic computat
Externí odkaz:
http://arxiv.org/abs/2410.18153
Autor:
Isomoto, Kosei, Mizutani, Akinobu, Matsuzaki, Fumiya, Sato, Hikaru, Matsumoto, Ikuya, Yamao, Kosei, Kawabata, Takuya, Shiba, Tomoya, Yano, Yuga, Yokota, Atsuki, Kanaoka, Daiju, Yamaguchi, Hiromasa, Murai, Kazuya, Minje, Kim, Shen, Lu, Suzuka, Mayo, Anraku, Moeno, Yamaguchi, Naoki, Fujimatsu, Satsuki, Tokuno, Shoshi, Mizo, Tadataka, Fujino, Tomoaki, Nakadera, Yuuki, Shishido, Yuka, Nakaoka, Yusuke, Tanaka, Yuichiro, Morie, Takashi, Tamukoh, Hakaru
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a dataset generator for training a robot vision system and an open-sour
Externí odkaz:
http://arxiv.org/abs/2410.06192