Residual-based attention and connection to information bottleneck theory in PINNs SJ Anagnostopoulos, JD Toscano, N Stergiopulos, GE Karniadakis arXiv preprint arXiv:2307.00379, 2023 | 15 | 2023 |
Residual-based attention in physics-informed neural networks SJ Anagnostopoulos, JD Toscano, N Stergiopulos, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 421, 116805, 2024 | 14 | 2024 |
Teeth mold point cloud completion via data augmentation and hybrid rl-gan JD Toscano, C Zuniga-Navarrete, WDJ Siu, LJ Segura, H Sun Journal of Computing and Information Science in Engineering 23 (4), 041008, 2023 | 9 | 2023 |
A machine learning approach to model the electrospinning process of biocompatible materials JD Toscano, Z Li, LJ Segura, H Sun International Manufacturing Science and Engineering Conference 84263 …, 2020 | 7 | 2020 |
Learning in PINNs: Phase transition, total diffusion, and generalization SJ Anagnostopoulos, JD Toscano, N Stergiopulos, GE Karniadakis arXiv preprint arXiv:2403.18494, 2024 | 4 | 2024 |
Deformation analysis of 3d printed metacarpophalangeal and interphalangeal joints via transfer learning JD Toscano, S Hajifar, CO Segura, LJ Segura, H Sun International Manufacturing Science and Engineering Conference 85062 …, 2021 | 4 | 2021 |
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks K Shukla, JD Toscano, Z Wang, Z Zou, GE Karniadakis arXiv preprint arXiv:2406.02917, 2024 | 2 | 2024 |
ALAIV: Assessing Lymphatic Flows through Artificial Intelligence Velocimetry J Toscano, A Raghunandan, T Du, M Nedergaard, D Kelley, ... Bulletin of the American Physical Society, 2023 | | 2023 |
Modelamiento de la interdependencia de parámetros de proceso con las propiedades mecánicas JD Toscano Castillo, SD Castellanos Villa | | |