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

, , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 39702-39721. PMLR, (2023)

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On the Convergence of Optimizing Persistent-Homology-Based Losses., , , and . CoRR, (2022)MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 39702-39721. PMLR, (2023)Multi-Step-Ahead Tool State Monitoring Using Clustering Feature-Based Recurrent Fuzzy Neural Networks., , and . IEEE Access, (2021)PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs., , , , , , , , , and 1 other author(s). CoRR, (2023)Preconditioning for Physics-Informed Neural Networks., , , , , , and . CoRR, (2024)Learning to Segment from Noisy Annotations: A Spatial Correction Approach., , , , , and . ICLR, OpenReview.net, (2023)Selecting Real-World Objects via User-Perspective Phone Occlusion., , , , , , , and . CHI, page 531:1-531:13. ACM, (2023)Image coding in compressed sensing based on noise shaping., , and . ISPACS, page 176-180. IEEE, (2017)Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images., , , , , , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 74-94. PMLR, (2023)