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pro vyhledávání: '"wu, Hao"'
We prove that skew products with the cocycle given by the function $f(x)=a(x-1/2)$ with $a\neq 0$ are ergodic for every ergodic symmetric IET in the base, thus giving the full characterization of ergodic extensions in this family. Moreover, we prove
Externí odkaz:
http://arxiv.org/abs/2409.12168
This paper considers the decentralized optimization problem of minimizing a finite sum of continuously differentiable functions over a fixed-connected undirected network. Summarizing the lack of previously developed decentralized conjugate gradient m
Externí odkaz:
http://arxiv.org/abs/2409.07122
Color centers, which are point defects in crystals, play a crucial role in altering the optical properties of their host materials, enabling widespread applications in the field of quantum information processing. While the majority of the state-of-th
Externí odkaz:
http://arxiv.org/abs/2409.05504
CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation
In the federated learning (FL) process, since the data held by each participant is different, it is necessary to figure out which participant has a higher contribution to the model performance. Effective contribution assessment can help motivate data
Externí odkaz:
http://arxiv.org/abs/2409.02495
We present Flow Matching for Reaction Coordinates (FMRC), a novel deep learning algorithm designed to identify optimal reaction coordinates (RC) in biomolecular reversible dynamics. FMRC is based on the mathematical principles of lumpability and deco
Externí odkaz:
http://arxiv.org/abs/2408.17139
Autor:
Hu, Qicong, Wu, Hao
Data characterized by high dimensionality and sparsity are commonly used to describe real-world node interactions. Low-rank representation (LR) can map high-dimensional sparse (HDS) data to low-dimensional feature spaces and infer node interactions v
Externí odkaz:
http://arxiv.org/abs/2408.16592
Autor:
Heins, Conor, Wu, Hao, Markovic, Dimitrije, Tschantz, Alexander, Beck, Jeff, Buckley, Christopher
Balancing computational efficiency with robust predictive performance is crucial in supervised learning, especially for critical applications. Standard deep learning models, while accurate and scalable, often lack probabilistic features like calibrat
Externí odkaz:
http://arxiv.org/abs/2408.16429
Today, numerous web services with similar functionalities are available on the Internet. Users often evaluate the Quality of Service (QoS) to choose the best option among them. Predicting the QoS values of these web services is a significant challeng
Externí odkaz:
http://arxiv.org/abs/2408.16278
Reaction coordinates (RCs) are low-dimensional representations of complex dynamical systems that capture their long-term dynamics. In this work, we focus on the criteria of lumpability and decomposability, previously established for assessing RCs, an
Externí odkaz:
http://arxiv.org/abs/2408.15981
Autor:
An, Congpei, Wu, Hao-Ning
In this paper, we propose and analyze a product integration method for the second-kind integral equation with weakly singular and continuous kernels on the unit sphere $\mathbb{S}^2$. We employ quadrature rules that satisfy the Marcinkiewicz--Zygmund
Externí odkaz:
http://arxiv.org/abs/2408.14392