Zobrazeno 1 - 10
of 116 643
pro vyhledávání: '"A, Murata"'
We introduce a novel interpretable Neural Network (NN) model designed to perform precision bulk reconstruction under the AdS/CFT correspondence. According to the correspondence, a specific condensed matter system on a ring is holographically equivale
Externí odkaz:
http://arxiv.org/abs/2411.16052
Topological solitons, which are stable, localized solutions of nonlinear differential equations, are crucial in various fields of physics and mathematics, including particle physics and cosmology. However, solving these solitons presents significant
Externí odkaz:
http://arxiv.org/abs/2411.14942
Selective state space models (SSMs) represented by Mamba have demonstrated their computational efficiency and promising outcomes in various tasks, including automatic speech recognition (ASR). Mamba has been applied to ASR task with the attention-bas
Externí odkaz:
http://arxiv.org/abs/2411.06968
Autor:
Murata, Kenya, Kakogawa, Atsushi
This paper reports a practical articulated wheeled in-pipe inspection robot "AIRo-7.1" which is waterproof and dustproof, and can adapt to 3 to 4 in inner diameters. The joint torque can be adjusted by a PWM open-loop control. The middle joint angle
Externí odkaz:
http://arxiv.org/abs/2411.03660
Autor:
Nguyen, Bac, Lai, and Chieh-Hsin, Takida, Yuhta, Murata, Naoki, Uesaka, Toshimitsu, Ermon, Stefano, Mitsufuji, Yuki
Latent diffusion models have enabled continuous-state diffusion models to handle a variety of datasets, including categorical data. However, most methods rely on fixed pretrained embeddings, limiting the benefits of joint training with the diffusion
Externí odkaz:
http://arxiv.org/abs/2410.14758
Autor:
Suehara, Taikan, Tagami, Risako, Gui, Lai, Murata, Tatsuki, Tanabe, Tomohiko, Ootani, Wataru, Ishino, Masaya
Deep learning can give a significant impact on physics performance of electron-positron Higgs factories such as ILC and FCCee. We are working on two topics on event reconstruction to apply deep learning. The first is jet flavor tagging, in which we a
Externí odkaz:
http://arxiv.org/abs/2410.08772
Autor:
Murata, Naoki, Lai, Chieh-Hsin, Takida, Yuhta, Uesaka, Toshimitsu, Nguyen, Bac, Ermon, Stefano, Mitsufuji, Yuki
Recent literature has effectively utilized diffusion models trained on continuous variables as priors for solving inverse problems. Notably, discrete diffusion models with discrete latent codes have shown strong performance, particularly in modalitie
Externí odkaz:
http://arxiv.org/abs/2410.14710
We demonstrate that a quantum field theory (QFT) in general two-dimensional curved spacetimes can be realized by a system of quantum spins or qubits. We consider a spin-1/2 model on a one-dimensional ring with spatially and temporally varying exchang
Externí odkaz:
http://arxiv.org/abs/2410.07587
Autor:
Hiranaka, Ayano, Chen, Shang-Fu, Lai, Chieh-Hsin, Kim, Dongjun, Murata, Naoki, Shibuya, Takashi, Liao, Wei-Hsiang, Sun, Shao-Hua, Mitsufuji, Yuki
Controllable generation through Stable Diffusion (SD) fine-tuning aims to improve fidelity, safety, and alignment with human guidance. Existing reinforcement learning from human feedback methods usually rely on predefined heuristic reward functions o
Externí odkaz:
http://arxiv.org/abs/2410.05116
Autor:
Murata, Takumi, Hashiura, Hiroaki
Multi-threaded programs are expected to improve responsiveness and conserve resources by dividing an application process into multiple threads for concurrent processing. However, due to scheduling and the interaction of multiple threads, their runtim
Externí odkaz:
http://arxiv.org/abs/2409.16700