Ethan Herron

Orcid: 0009-0009-3342-6116

According to our database1, Ethan Herron authored at least 10 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

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Links

On csauthors.net:

Bibliography

2025
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries.
CoRR, January, 2025

2024
STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology.
CoRR, 2024

3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs).
CoRR, 2024

Neural PDE Solvers for Irregular Domains.
Comput. Aided Des., 2024

Latent Diffusion Models for Structural Component Design.
Comput. Aided Des., 2024

2023
Deep learning-based 3D multigrid topology optimization of manufacturable designs.
Eng. Appl. Artif. Intell., November, 2023

2022
Neural PDE Solvers for Irregular Domains.
CoRR, 2022

2021
Algorithmically-consistent deep learning frameworks for structural topology optimization.
Eng. Appl. Artif. Intell., 2021

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Physics-consistent deep learning for structural topology optimization.
CoRR, 2020


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