1 code implementation • CVPR 2018 • Hao-Min Liu, Mingyu Chen, Guofeng Zhang, Hujun Bao, Yingze Bao
However, jointly using visual and inertial measurements to optimize SLAM objective functions is a problem of high computational complexity.
no code implementations • 26 Feb 2021 • Kazumasa Iida, Jens Hänisch, Keisuke Kondo, Mingyu Chen, Takafumi Hatano, Chao Wang, Hikaru Saito, Satoshi Hata, Hiroshi Ikuta
The anisotropic Ginzburg-Landau scaling for the angle dependence of $J_{\rm c}$ yielded temperature-dependent scaling parameters $\gamma_{\rm J}$ that decreased from 1. 6 at 30 K to 1. 3 at 5 K. This is opposite to the behaviour of NdFeAs(O, F).
Superconductivity
1 code implementation • 26 May 2023 • Yao Fu, Litu Ou, Mingyu Chen, Yuhao Wan, Hao Peng, Tushar Khot
As large language models (LLMs) are continuously being developed, their evaluation becomes increasingly important yet challenging.
no code implementations • 3 Oct 2023 • Mingyu Chen, Xuezhou Zhang
We consider the Adversarial Multi-Armed Bandits (MAB) problem with unbounded losses, where the algorithms have no prior knowledge on the sizes of the losses.
no code implementations • 1 Mar 2024 • Mingyu Chen, Xuezhou Zhang
This paper initiates the study of scale-free learning in Markov Decision Processes (MDPs), where the scale of rewards/losses is unknown to the learner.