Zobrazeno 1 - 10
of 770
pro vyhledávání: '"Wang Weixin"'
Publikováno v:
Translational Neuroscience, Vol 13, Iss 1, Pp 38-51 (2022)
The most commonly used experimental model for preclinical studies on peripheral nerve regeneration is the sciatic nerve injury model. However, no experimental study has been conducted to evaluate acute injury modes at the same time.
Externí odkaz:
https://doaj.org/article/1c3788a43af2485cad8d9a111ba72eea
We study off-dynamics Reinforcement Learning (RL), where the policy training and deployment environments are different. To deal with this environmental perturbation, we focus on learning policies robust to uncertainties in transition dynamics under t
Externí odkaz:
http://arxiv.org/abs/2409.20521
Publikováno v:
Translational Neuroscience, Vol 13, Iss 1, Pp 291-291 (2022)
Externí odkaz:
https://doaj.org/article/f5520e2aac9c429ca86f8a2fb2f5c4b5
Leverage score is a fundamental problem in machine learning and theoretical computer science. It has extensive applications in regression analysis, randomized algorithms, and neural network inversion. Despite leverage scores are widely used as a tool
Externí odkaz:
http://arxiv.org/abs/2404.13785
We present the first study on provably efficient randomized exploration in cooperative multi-agent reinforcement learning (MARL). We propose a unified algorithm framework for randomized exploration in parallel Markov Decision Processes (MDPs), and tw
Externí odkaz:
http://arxiv.org/abs/2404.10728
The Deep Leakage from Gradient (DLG) attack has emerged as a prevalent and highly effective method for extracting sensitive training data by inspecting exchanged gradients. This approach poses a substantial threat to the privacy of individuals and or
Externí odkaz:
http://arxiv.org/abs/2311.13624
Large language models (LLMs) have brought significant changes to human society. Softmax regression and residual neural networks (ResNet) are two important techniques in deep learning: they not only serve as significant theoretical components supporti
Externí odkaz:
http://arxiv.org/abs/2309.13482
Large language models (LLMs) have played a pivotal role in revolutionizing various facets of our daily existence. Solving attention regression is a fundamental task in optimizing LLMs. In this work, we focus on giving a provable guarantee for the one
Externí odkaz:
http://arxiv.org/abs/2309.07418
The online weighted matching problem is a fundamental problem in machine learning due to its numerous applications. Despite many efforts in this area, existing algorithms are either too slow or don't take $\mathrm{deadline}$ (the longest time a node
Externí odkaz:
http://arxiv.org/abs/2305.08353
Autor:
Wang, Weixin, Lee, Taeyoung
This paper deals with uncertainty propagation of general stochastic hybrid systems (GSHS) where the continuous state space is a compact Lie group. A computational framework is proposed to solve the Fokker-Planck (FP) equation that describes the time
Externí odkaz:
http://arxiv.org/abs/2203.02548