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N. Zakariaei

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#machine learning Preprint Oct 2026

Mesh-Free Convolution: Learned Spectral Attenuation and Transport

Learning solution operators for partial differential equations (PDEs) requires models that can represent spatial structure across grids and scales. This becomes especially important in time-dependent problems, where the learned operator is often used autoregressively: each predicted state is fed back as input to predic...

N. Zakariaei, M. Manav, Eldad Haber · 0 citations
#artificial intelligence Open access Feb 2025

Iterative Flow Matching - Path Correction and Gradual Refinement for Enhanced Generative Modeling

This work explores image generation using flow matching using flow matching and proposes an iterative process that can be integrated into virtually any generative modeling technique, thereby enhancing the performance and robustness of image synthesis systems.

Eldad Haber, Shadab Ahamed, Md Shahriar Rahim Siddiqui et al. · 3 citations

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