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Author

J. Matias Di Martino

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Preprint Sep 2026

A Bifurcation-Based Domain Decomposition Method with Neural Operators for Blood Flow Simulation

Fast and accurate simulation of hemodynamic behavior within vascular networks is essential for numerous clinical applications. However, obtaining high-quality and computationally efficient flow measurements across complex vascular networks remains challenging. To address this, we first decompose the vascular network in...

Yu-Zhou Zhao, Han Zhang, J. Matias Di Martino et al. · 0 citations
Open access Aug 2026

Digital phenotyping captures autism-associated behaviors in preschool- and school-age autistic children with and without co-occurring ADHD

SenseToKnow captures autism-associated behaviors even in the presence of co-occurring ADHD, and across both analysis, SenseToKnow features tracked autism status rather than ADHD status, even when the two co-occurred.

Vikram Aikat, Kimberly L. H. Carpenter, J. Matias Di Martino et al. · 0 citations
Conference Open access 2026

CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought

Overall, the findings establish that optimizing the thought process structure refines reasoning efficacy, with computational efficiency emerging as a derivative benefit of a clearer thought process.

Oded Schlesinger, Young Kyung Kim, J. Matias Di Martino et al. · 0 citations

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