3 papers
cs.CV2026
Flow Matching and Diffusion Models via PointNet for Generating Fluid Fields on Irregular Geometries
Ali Kashefi
We present two novel generative geometric deep learning frameworks, termed Flow Matching PointNet and Diffusion PointNet, for predicting fluid flow variables on irregular geometrie…
cs.CV2025
Vision Mamba for Permeability Prediction of Porous Media
Ali Kashefi, Tapan Mukerji
Vision Mamba has recently received attention as an alternative to Vision Transformers (ViTs) for image classification. The network size of Vision Mamba scales linearly with input i…
cs.LG2025
Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries
Ali Kashefi, Tapan Mukerji
Kolmogorov-Arnold Networks (KANs) have gained attention as an alternative to traditional multilayer perceptrons (MLPs) for deep learning applications in computational physics, part…