Zobrazeno 1 - 10
of 25 409
pro vyhledávání: '"Yan feng"'
Autor:
Zhang, Tunhou, Cheng, Dehua, He, Yuchen, Chen, Zhengxing, Dai, Xiaoliang, Xiong, Liang, Liu, Yudong, Cheng, Feng, Cao, Yufan, Yan, Feng, Li, Hai, Chen, Yiran, Wen, Wei
Publikováno v:
ACM Transactions on Recommender Systems (TORS) 2024
The increasing popularity of deep learning models has created new opportunities for developing AI-based recommender systems. Designing recommender systems using deep neural networks requires careful architecture design, and further optimization deman
Externí odkaz:
http://arxiv.org/abs/2411.07569
Autor:
Wu, Yan-Feng, Hu, Jian-Qiang
We introduce ajdmom, a Python package designed for automatically deriving moment formulas for the well-established affine jump diffusion (AJD) processes. ajdmom can produce explicit closed-form expressions for moments or conditional moments of any or
Externí odkaz:
http://arxiv.org/abs/2411.06484
Addressing critical challenges in Lamb wave resonators, this paper presents the first validation of resonators incorporating sub-wavelength through-holes. Using the A3 mode resonator based on a LiNbO3 single-crystal thin film and operating in the K b
Externí odkaz:
http://arxiv.org/abs/2409.00783
We develop moment estimators for the parameters of affine stochastic volatility models. We first address the challenge of calculating moments for the models by introducing a recursive equation for deriving closed-form expressions for moments of any o
Externí odkaz:
http://arxiv.org/abs/2408.09185
Gradient-variation online learning aims to achieve regret guarantees that scale with variations in the gradients of online functions, which has been shown to be crucial for attaining fast convergence in games and robustness in stochastic optimization
Externí odkaz:
http://arxiv.org/abs/2408.09074
A standard two-qubit joint measurement is the well-known Bell state measurement (BSM), in which each reduced state (traced out one qubit) is the completely mixed state. Recently, a novel quantum joint measurement named elegant joint measurement (EJM)
Externí odkaz:
http://arxiv.org/abs/2408.06179
Foundation models hold significant potential for enabling robots to perform long-horizon general manipulation tasks. However, the simplicity of tasks and the uniformity of environments in existing benchmarks restrict their effective deployment in com
Externí odkaz:
http://arxiv.org/abs/2407.06951
Autor:
Huang, Yiyang, Hao, Yuhui, Yu, Bo, Yan, Feng, Yang, Yuxin, Min, Feng, Han, Yinhe, Ma, Lin, Liu, Shaoshan, Liu, Qiang, Gan, Yiming
Embodied AI robots have the potential to fundamentally improve the way human beings live and manufacture. Continued progress in the burgeoning field of using large language models to control robots depends critically on an efficient computing substra
Externí odkaz:
http://arxiv.org/abs/2407.04292
Multimodal Large Language Models (MLLM) have made significant progress in the field of document analysis. Despite this, existing benchmarks typically focus only on extracting text and simple layout information, neglecting the complex interactions bet
Externí odkaz:
http://arxiv.org/abs/2407.02842
Utilizing Vision-Language Models (VLMs) for robotic manipulation represents a novel paradigm, aiming to enhance the model's ability to generalize to new objects and instructions. However, due to variations in camera specifications and mounting positi
Externí odkaz:
http://arxiv.org/abs/2406.18977