Ambient Physics: Training Neural PDE Solvers with Partial Observations

Harris Abdul Majid, Giannis Daras, Francesco Tudisco, Steven McDonagh

In many scientific contexts, obtaining complete observations of PDE coefficients and solutions proves expensive, hazardous, or unfeasible. Recent diffusion-based approaches can reconstruct fields from incomplete data, yet require fully observed examples during training. We present Ambient Physics, a framework enabling …

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Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aortic Aneurysm Generation

Francesco Fabbri, Martino Andrea Scarpolini, Angelo Iollo, Francesco Viola, Francesco Tudisco

Medical & Biological Engineering & Computing, vol. 64, pp. 827–845, 2026

Synthetic data generation plays a crucial role in medical research by mitigating privacy concerns and enabling large-scale patient data analysis. This study presents a beta-Variational Autoencoder Graph Convolutional Neural Network framework for generating synthetic Abdominal Aorta Aneurysms (AAA). Using a small …

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