These regions of start and target points are 4D in diameter, and are located 5D downstream and centered 2.05D above and below the cylinder. Additionally, each swimmer is initialized at a random time step in the vortex shedding cycle. An episode is successful when a swimmer reaches within a ...
points-to graphpointer analysisTo function on programs written in languages such as C that make extensive use of pointers, automated software engineering tools require safe alias information. Existing alias-analysis techniques that are sufficiently efficient for analysis on large software systems may ...
这是一篇谷歌2020年9月份在arXiv发表的综述论文“Efficient Transformers: A Survey“,值得读读。 文章主要针对一类X-former模型,例如Reformer,Linformer,Performer,Longformer为例,这些对原版Transformer做了改进,提高了其计算和内存的效率。 self-attention是Transformer模型的关键定义特征。 该机制可以看作是类似graph的归纳...
It has been observed that learning curves typically follow a power-law of the form51: ϵ ∝ aNb where ϵ and N refer to the generalization error and the number of training points, respectively. The exponent of this power-law (or equivalently the slope in log-log space) determines ...
1b). d, The states visited by different algorithms in Slow-down and ATSC-Grid. The distance between points represents the difference between states84. Due to the existence of the model, our approach outperforms other algorithms in exploration efficiency, thereby increasing sample efficiency. This ...
datamodule.pcp_spatial_weightImportance of the 3D position in the partition. The smaller, the fewer the superpoints.🟡🔴🟣 datamodule.pcp_cutoffMinimum superpoint size. The larger, the fewer the superpoints.🟡🔴🟣 datamodule.graph_k_maxMaximum number of adjacent nodes in the superpoint...
drawable->set_impostor_type(PointsDrawable::SURFEL); By abstracting geometric elements as one of the above drawables, more general visualization (e.g., vector fields, scalar fields) can be done very conveniently. The repository contains aCMakeLists.txtfile (in the root directory of the repositor...
particularly in the case of batch Bayesian optimisation, where multiple points are selected in every step. In this work we reformulate batch BO as an optimisation problem over the space of probability measures. We construct a new acquisition function based on multipoint expected improvement which is...
Label propagation is a popular graph-based semi-supervised learning framework. So as to obtain the optimal labeling scores, the label propagation algorithm requires an inverse matrix which incurs the high computational cost of O(n+cn), where n and c are the numbers of data points and labels,...
In the development of a task-oriented dialogue system, defining the dialogue structure is a time-consuming task. Hence, several works have looked into auto