Zobrazeno 1 - 10
of 1 685
pro vyhledávání: '"Li, Minghao"'
Autor:
Li, Minghao, Avdiukhin, Dmitrii, Shahout, Rana, Ivkin, Nikita, Braverman, Vladimir, Yu, Minlan
Federated Learning (FL) enables deep learning model training across edge devices and protects user privacy by retaining raw data locally. Data heterogeneity in client distributions slows model convergence and leads to plateauing with reduced precisio
Externí odkaz:
http://arxiv.org/abs/2411.01580
Autor:
Li, Minghao, Yang, Ling
In this paper, we study transnormal and isoparametric functions on general Riemannian manifolds. We show that transnormal and isoparametric functions impose the same topological constraints on the manifold, which requires the underlying manifold to h
Externí odkaz:
http://arxiv.org/abs/2410.21016
Autor:
Liu, Xuejuan, Jin, Zhejunyu, Li, Zhengyi, Zeng, Zhaozhuo, Li, Minghao, Yao, Yuping, Cao, Yunshan, Zhang, Yinghui, Yan, Peng
A stable, low-power and tunable magnon frequency comb (MFC) is crucial for magnon-based precision measurements, quantum information processing and chip integration. Original method for creating MFC utilizes the nonlinear interactions between propagat
Externí odkaz:
http://arxiv.org/abs/2408.03277
Recently, a noticeable trend has emerged in developing pre-trained foundation models in the domains of CV and NLP. However, for molecular pre-training, there lacks a universal model capable of effectively applying to various categories of molecular t
Externí odkaz:
http://arxiv.org/abs/2405.10343
Autor:
Li, Minghao
Phäochromozytome und Paragangliome (PPGL) sind seltene neuroendokrine Tumore, die von Chromaffinzellen im Nebennierenmark (Phäochromozytome, PCC) oder vom extra-adrenalen Paraganglion (Paragangliome, PGL) ausgehen. Patienten mit PPGL zeigen in der
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A89239
https://tud.qucosa.de/api/qucosa%3A89239/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A89239/attachment/ATT-0/
In this note, we derive a uniqueness theorem for minimal graphs of general codimension under certain restrictions closed related to the convexity (not strict convexity) of the area functional with respect to singular values, improving the result in \
Externí odkaz:
http://arxiv.org/abs/2311.11075
Autor:
Koltchinskii, Vladimir, Li, Minghao
Let ${\mathcal P}$ be a family of probability measures on a measurable space $(S,{\mathcal A}).$ Given a Banach space $E,$ a functional $f:E\mapsto {\mathbb R}$ and a mapping $\theta: {\mathcal P}\mapsto E,$ our goal is to estimate $f(\theta(P))$ bas
Externí odkaz:
http://arxiv.org/abs/2310.16129
Autor:
Zuber, Josh A., Li, Minghao, Puigibert, Marcel. li Grimau, Happacher, Jodok, Reiser, Patrick, Shields, Brendan J., Maletinsky, Patrick
The negatively charged silicon vacancy center (SiV$^-$) in diamond is a promising, yet underexplored candidate for single-spin quantum sensing at sub-kelvin temperatures and tesla-range magnetic fields. A key ingredient for such applications is the a
Externí odkaz:
http://arxiv.org/abs/2307.12753
Large language models (LLMs) often contain misleading content, emphasizing the need to align them with human values to ensure secure AI systems. Reinforcement learning from human feedback (RLHF) has been employed to achieve this alignment. However, i
Externí odkaz:
http://arxiv.org/abs/2306.17492
Autor:
Goerlich, Rémi, Li, Minghao, Pires, Luís Barbosa, Hervieux, Paul-Antoine, Manfredi, Giovanni, Genet, Cyriaque
A diffusive process that is reset to its origin at random times, so-called stochastic resetting (SR), is an ubiquitous expedient in many natural systems . Yet, beyond its ability to improve the efficiency of target searching, SR is a true non-equilib
Externí odkaz:
http://arxiv.org/abs/2306.09503