Juan Diego Toscano

According to our database, Juan Diego Toscano authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning.

Juan Diego Toscano, Vivek Oommen, Alan John Varghese, Zongren Zou, Nazanin Ahmadi Daryakenari, Chenxi Wu, George Em Karniadakis

CoRR, 2024

Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks.

Juan Diego Toscano, Theo Käufer, Zhibo Wang, Martin Maxey, Christian Cierpka, George Em Karniadakis

CoRR, 2024

A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks.

Khemraj Shukla, Juan Diego Toscano, Zhicheng Wang, Zongren Zou, George Em Karniadakis

CoRR, 2024

Learning in PINNs: Phase transition, total diffusion, and generalization.

Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis

CoRR, 2024

2023

Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RL-GAN.

Juan Diego Toscano, Christian Zuniga-Navarrete, Wilson David Jo Siu, Luis Javier Segura, Hongyue Sun

J. Comput. Inf. Sci. Eng., 2023

Residual-based attention and connection to information bottleneck theory in PINNs.

Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis

CoRR, 2023