Author

M. Maleckar

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Preprint Aug 2026

Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology

An intervention-aware clinical world model that represents each patient with a structured latent state and evolves it through time-ordered post-intervention events is proposed that represents each patient with a structured latent state and evolves it through time-ordered post-intervention events.

Y. Chung, Ying-Shuo Liu, Abboud Hassan et al. · 0 citations

Jul 2026

Latent PDE mapping for efficient physics-informed learning across geometries with limited data

Latent PDE mapping pulls back geometry-specific PDE residuals and boundary conditions to a predefined latent geometry via the deformation gradient, thereby enabling the automated calculation of geometry-consistent shape gradients that are missing in conventional physics-informed machine learning formulations.

I. A. Adde, M. Maleckar, G. Balaban · arXiv.org · 1 citation