4 papers · 1 filter
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…
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…
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
Ali Kashefi
Kolmogorov-Arnold Networks (KANs) have recently gained attention as an alternative to traditional Multilayer Perceptrons (MLPs) in deep learning frameworks. KANs have been integrat…
A novel Fourier neural operator framework for classification of multi-sized images: Application to three dimensional digital porous media
Ali Kashefi, Tapan Mukerji
Fourier neural operators (FNOs) are invariant with respect to the size of input images, and thus images with any size can be fed into FNO-based frameworks without any modification…