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Juan Diego Toscano

Showing results (1-10 of 9) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|July 15, 2025
KKANs: Ku̇rková-Kolmogorov-Arnold networks and their learning dynamicsJuan Diego Toscano, Li-Lian Wang, George Em Karniadakis
Neural Networks : the Official Journal of the International Neural Network Society|August 30, 2025
Learning in PINNs: Phase transition, diffusion equilibrium, and generalizationSokratis J Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, et al.
NPJ Artificial Intelligence|March 10, 2026
A variational framework for residual-based adaptivity in neural PDE solvers and operator learningJuan Diego Toscano, Daniel T Chen, Vivek Ooomen, et al.
Science Advances|May 7, 2025
AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov-Arnold networksJuan Diego Toscano, Theo Käufer, Zhibo Wang, et al.
Machine Learning for Computational Science and Engineering|June 25, 2026
From PINNs to PIKANs: recent advances in physics-informed machine learningJuan Diego Toscano, Vivek Oommen, Alan John Varghese, et al.
Biorxiv : the Preprint Server for Biology|April 27, 2026
Robust MR-AIV: A Systematic Study of Robustness Improvement and Sensitivity Analysis of MR-AIVMohammad Vaezi, Juan Diego Toscano, Yisen Guo, et al.
Biorxiv : the Preprint Server for Biology|August 6, 2025
MR-AIV reveals <i>in vivo</i> brain-wide fluid flow with physics-informed AIJuan Diego Toscano, Yisen Guo, Zhibo Wang, et al.
Science Advances|May 27, 2026
MR-AIV reveals in vivo brain-wide fluid flow with physics-informed AIJuan Diego Toscano, Yisen Guo, Zhibo Wang, et al.
Interface Focus|December 9, 2024
Inferring <i>in vivo</i> murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantificationJuan Diego Toscano, Chenxi Wu, Antonio Ladrón-de-Guevara, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|July 15, 2025
KKANs: Ku̇rková-Kolmogorov-Arnold networks and their learning dynamicsJuan Diego Toscano, Li-Lian Wang, George Em Karniadakis
Neural Networks : the Official Journal of the International Neural Network Society|August 30, 2025
Learning in PINNs: Phase transition, diffusion equilibrium, and generalizationSokratis J Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, et al.
NPJ Artificial Intelligence|March 10, 2026
A variational framework for residual-based adaptivity in neural PDE solvers and operator learningJuan Diego Toscano, Daniel T Chen, Vivek Ooomen, et al.
Science Advances|May 7, 2025
AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov-Arnold networksJuan Diego Toscano, Theo Käufer, Zhibo Wang, et al.
Machine Learning for Computational Science and Engineering|June 25, 2026
From PINNs to PIKANs: recent advances in physics-informed machine learningJuan Diego Toscano, Vivek Oommen, Alan John Varghese, et al.
Biorxiv : the Preprint Server for Biology|April 27, 2026
Robust MR-AIV: A Systematic Study of Robustness Improvement and Sensitivity Analysis of MR-AIVMohammad Vaezi, Juan Diego Toscano, Yisen Guo, et al.
Biorxiv : the Preprint Server for Biology|August 6, 2025
MR-AIV reveals <i>in vivo</i> brain-wide fluid flow with physics-informed AIJuan Diego Toscano, Yisen Guo, Zhibo Wang, et al.
Science Advances|May 27, 2026
MR-AIV reveals in vivo brain-wide fluid flow with physics-informed AIJuan Diego Toscano, Yisen Guo, Zhibo Wang, et al.
Interface Focus|December 9, 2024
Inferring <i>in vivo</i> murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantificationJuan Diego Toscano, Chenxi Wu, Antonio Ladrón-de-Guevara, et al.
Pageof 1