Finally, the chosen bluff bodies are characterized by mechanisms resembling the phenomena observed in the cylinder flow, thus characterized by comparable time and space scales; the corresponding meshes are characterized by a refinement similar to the one adopted for the reference case. Table 2 ...
These layers enable multiple scales of contextual information to be incorporated without the parameter explosion associated with large convolutions. The outputs of the dilated convolutions are added to the feature vectors as residuals, meaning the network can choose not to use them (e.g.on small ...
Macroscale features are captured on coarse surrogates, while microscale effects are resolved on finer ones, while leveraging transfer learning to pass information between scales. The objective of this study is to develop efficient surrogates for a kart frame model in a frontal impact scenario. To ...
Most real-world decisions involve a delicate balance between exploring unfamiliar alternatives and committing to the best known option. Previous work has shown that humans rely on different forms of uncertainty to negotiate this "explore-exploit” trade-off, yet the neural basis of the underlying com...
Automatic differentiation is especially useful for neural network training, since it scales well to multiple parameters as well as higher-order derivatives. In this book, we adopt the automatic differentiation approach. Automatic differentiation encompasses two different modes of computation: forward and ...
Neurally-Guided Structure Inference Low-rank G → GG + G Clustering G → M G + G | GM T +G M → MG + G Markov chains G → CG + G | GCT + G Gaussian scales G → exp(G) ◦ G Binary factors G → BG + G | GBT + G B → BG + G Misc. M →B Table 1. Production...
The data sources obtained in this case contain attribute information of different spatial scales, different time scales and different complexity levels. It is worth noting that the emergence of new high-dimensional trajectory data types and the increasing number of details are becoming more difficult....
(i.e., mark consecutive frames in the film as not belonging to each other) when the number of situational changes in the movie increased, suggesting that adolescents seem to act on longer time scales, just like younger children16. According to EST, a segment boundary is set whenever the ...
Materials simulations based on direct numerical solvers are accurate but computationally expensive for predicting materials evolution across length- and time-scales, due to the complexity of the underlying evolution equations, the nature of multiscale spatiotemporal interactions, and the need to reach long...
The logistic function contains an exponential, so taking the log brings the problem back to a space that scales proportionally. The log odds function is also called the logit function, defined by: logit ( x ) = log ( x 1 - x ) It is exactly the reverse of the logistic ...