( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations.

, , и . SIAM J. Sci. Comput., 42 (1): A292-A317 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

George Em Marica

Mena em Zulai

George Mertzios

Combinatorial optimization and recognition of graph classes with applications to related models. TU Aachen, (2009)

Avr Bar-Mena em

Darius Ka em kas

 

Другие публикации лиц с тем же именем

Meta-learning PINN loss functions., , и . J. Comput. Phys., (2022)DeepOnet Based Preconditioning Strategies For Solving Parametric Linear Systems of Equations., и . CoRR, (2024)Parallel Physics-Informed Neural Networks via Domain Decomposition., , и . CoRR, (2021)Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions., , , и . Neurocomputing, (2022)AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images., , , , , , , и . CoRR, (2021)Rethinking materials simulations: Blending direct numerical simulations with neural operators., , , , и . CoRR, (2023)Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems., , , и . CoRR, (2021)Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators., , , , , и . CoRR, (2023)Learning characteristic parameters and dynamics of centrifugal pumps under multi-phase flow using physics-informed neural networks., , , и . CoRR, (2023)Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks., , , и . CoRR, (2023)