From post

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.

, , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 39702-39721. PMLR, (2023)

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.

 

Другие публикации лиц с тем же именем

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs., , , , , и . NeurIPS, (2022)Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients., , , , , и . ICLR, OpenReview.net, (2023)Equivariant Energy-Guided SDE for Inverse Molecular Design., , , , , и . CoRR, (2022)On the Reuse Bias in Off-Policy Reinforcement Learning., , , , , и . CoRR, (2022)On the Reuse Bias in Off-Policy Reinforcement Learning., , , , , и . IJCAI, стр. 4513-4521. ijcai.org, (2023)Preconditioning for Physics-Informed Neural Networks., , , , , , и . CoRR, (2024)Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm., , , , , , и . J. Comput. Sci. Technol., 37 (6): 1464-1477 (2022)Improved Operator Learning by Orthogonal Attention., , , , и . ICML, OpenReview.net, (2024)GNOT: A General Neural Operator Transformer for Operator Learning., , , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 12556-12569. PMLR, (2023)Improved Operator Learning by Orthogonal Attention., , , , и . CoRR, (2023)