Zobrazeno 1 - 10
of 1 932
pro vyhledávání: '"Kao, P. C."'
The rapid development of artificial intelligence (AI) has unearthed the potential to assist humans in controlling advanced technologies. Shared autonomy (SA) facilitates control by combining inputs from a human pilot and an AI copilot. In prior SA st
Externí odkaz:
http://arxiv.org/abs/2409.15317
Cooperation between self-interested individuals is a widespread phenomenon in the natural world, but remains elusive in interactions between artificially intelligent agents. Instead, naive reinforcement learning algorithms typically converge to Paret
Externí odkaz:
http://arxiv.org/abs/2406.01641
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores
Given the remarkable capabilities of large language models (LLMs), there has been a growing interest in evaluating their similarity to the human brain. One approach towards quantifying this similarity is by measuring how well a model predicts neural
Externí odkaz:
http://arxiv.org/abs/2406.01538
Autor:
Jang, H., Song, S., Kihara, T., Liu, Y., Lee, S. -J., Park, S. -Y., Kim, M., Kim, H. -D., Coslovich, G., Nakata, S., Kubota, Y., Inoue, I., Tamasaku, K., Yabashi, M., Lee, H., Song, C., Nojiri, H., Keimer, B., Kao, C. -C., Lee, J. -S.
Publikováno v:
Sci. Adv. 8, eabk0832 (2022)
The normal state of high-Tc cuprates has been considered one of the essential topics in high-temperature superconductivity research. However, compared to the high magnetic fields study of it, understanding a photoinduced normal state remains elusive.
Externí odkaz:
http://arxiv.org/abs/2202.04784
Enhanced charge density wave with mobile superconducting vortices in La$_{1.885}$Sr$_{0.115}$CuO$_4$
Autor:
Wen, J. -J., He, W., Jang, H., Nojiri, H., Matsuzawa, S., Song, S., Chollet, M., Zhu, D., Liu, Y. -J., Fujita, M., Jiang, J. M., Rotundu, C. R., Kao, C. -C., Jiang, H. -C., Lee, J. -S., Lee, Y. S.
Superconductivity in the cuprates is found to be intertwined with charge and spin density waves. Determining the interactions between the different types of order is crucial for understanding these important materials. Here, we elucidate the role of
Externí odkaz:
http://arxiv.org/abs/2111.06422
Autor:
Huang, H., Lee, S. -J., Ikeda, Y., Taniguchi, T., Takahama, M., Kao, C. -C., Fujita, M., Lee, J. -S.
Publikováno v:
Phys. Rev. Lett. 126, 167001 (2021)
The presence of a small concentration of in-plane Fe dopants in La$_{1.87}$Sr$_{0.13}$Cu$_{0.99}$Fe$_{0.01}$O$_4$ is known to enhance stripe-like spin and charge density wave (SDW and CDW) order, and suppress the superconducting $T_c$. Here, we show
Externí odkaz:
http://arxiv.org/abs/2101.00539
We introduce a notion of usable information contained in the representation learned by a deep network, and use it to study how optimal representations for the task emerge during training. We show that the implicit regularization coming from training
Externí odkaz:
http://arxiv.org/abs/2010.02459
Publikováno v:
published - ACS Applied Materials & Interfaces 12, 37757 (2020)
A SrRuO$_3$ (SRO) thin film and its heterostructure have brought much attention because of the recently demonstrated fascinating properties, such as topological Hall effect and skyrmions. Critical to the understanding of those SRO properties is the s
Externí odkaz:
http://arxiv.org/abs/2004.08092
Akademický článek
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Publikováno v:
Phys. Rev. B 100, 125140 (2019)
Mean field approach, although a generally reliable tool that captures major short range correlations, often fails in symmetric low dimensional strongly correlated electronic systems like those described by the Hubbard model. In these situations a sym
Externí odkaz:
http://arxiv.org/abs/1902.08884