Juan Diego Toscano

According to our database1, Juan Diego Toscano authored at least 9 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Explicit Construction of Approximate Kolmogorov-Arnold Superpositions with C2-Smoothness.
CoRR, August, 2025

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design.
CoRR, May, 2025

KKANs: Kurková-Kolmogorov-Arnold networks and their learning dynamics.
Neural Networks, 2025

2024
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning.
CoRR, 2024

Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks.
CoRR, 2024

A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks.
CoRR, 2024

Learning in PINNs: Phase transition, total diffusion, and generalization.
CoRR, 2024

2023
Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RL-GAN.
J. Comput. Inf. Sci. Eng., 2023

Residual-based attention and connection to information bottleneck theory in PINNs.
CoRR, 2023


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