11 hours ago · On the rate of convergence of fully connected deep neural network regression estimates. The Annals of Statistics, 49(4):2231–2249, 2021. Kohler et al. [2022]

5 days ago · The branch and trunk nets are fully connected feedforward neural networks ... Chen, “Universal approximation to nonlinear operators by neural networks with ...

4 days ago · them less favourable for an approximation analysis. The two fully-connected networks are composed by only 2 hidden layers with 10 units each. Training is ...

3 days ago · In cheminformatics, chemical reactions are often defined as two sets of molecules, reactants and products, where the reactants are fully or partially ...

7 days ago · ... universal approximator for continuous functions on compact sets with fast learning property. ... networks has not been fully investigated yet. Through a very ...

3 days ago · The database has been exploited for training a (fully) Convolutional Neural Network (CNN) which maps the free surface profile h(x) to the corresponding energy ...

3 days ago · For instance, supervised learning models, such as pretrained deep neural networks ... fully dependent on the location of the lander (as the state vector) on the ...

6 days ago · (18) constructed deep neural networks based ... forces during neural network potential training and the introduction of a fully automated sampling scheme.

3 days ago · Our deep convolutional neural network ... Michau G., Fink O. Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series.

6 days ago · Despite these advancements, existing methods have not fully considered the distinctive attributes of buildings, such as their relatively regular boundaries.