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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Towards Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Large-scale Machine Learning Models
非线性动力学 机器学习模型 高效量子算法
2023/4/13
Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Implicit biases of optimization algorithms for neural networks and their effects on generalization
神经网络 优化算法 隐式偏差 泛化的影响
2023/4/26
Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
Algorithms developed in Cornell’s Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating wi...
2017年国际新兴技术算法，方法，模型和应用会议（2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies）
2017年 国际新兴技术算法，方法，模型和应用 会议
2017/1/10
Future technologies will see the convergence of mobile devices, cloud and data analytics seamlessly which not only will change the way we think but also the way we lead our lives. This conference focu...
Accurate,fast and stable denoising source separation algorithms
denoising source separation DSS independent component analysis ICA blind source separation BSS FastICA stability
2015/7/30
Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. First, a new scheme for accele...
Empirical Evaluation of Four Tensor Decomposition Algorithms
tensors singular value decomposition Tucker decomposition tensor decomposition latent semantic analysis
2015/7/29
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is a powerful tool that ...
Comparison of Simulation Algorithms for the Hopfield Neural Network: An Application of Economic Dispatch
Simulation Algorithms Hopfield Neural Network Economic Dispatch
2009/7/27
This paper is mainly concerned with an investigation of the suitability of Hopfield neural network structures in solving the power economic dispatch problem. For Hopfield neural network applications t...