skolouri
I am an Assistant Professor of Computer Science at Vanderbilt University. I am interested in Machine Learning and Computer Vision.
Vanderbilt UniversityNashville, TN
Pinned Repositories
Ashkan13776.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
BAMC2019
These slides were presented in BAMC 2019
Cumulative-Distribution-Transform
Cumulative Distribution Transform
explain_graphs
Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR 2019)
Linear_Wasserstein_Embedding
The Linear Optimal Transport Framework
optimaltransport
Optimal transport transforms
Radon-Cumulative-Distribution-Transform
Radon Cumulative Distribution Transform
swae
Implementation of the Sliced Wasserstein Autoencoders
swgmm
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
TopoTrans
TopoTrans: Optimal Transport meets Topological Data Analysis
skolouri's Repositories
skolouri/swae
Implementation of the Sliced Wasserstein Autoencoders
skolouri/swgmm
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
skolouri/Radon-Cumulative-Distribution-Transform
Radon Cumulative Distribution Transform
skolouri/Cumulative-Distribution-Transform
Cumulative Distribution Transform
skolouri/TopoTrans
TopoTrans: Optimal Transport meets Topological Data Analysis
skolouri/Linear_Wasserstein_Embedding
The Linear Optimal Transport Framework
skolouri/optimaltransport
Optimal transport transforms
skolouri/Ashkan13776.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
skolouri/BAMC2019
These slides were presented in BAMC 2019
skolouri/explain_graphs
Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR 2019)
skolouri/gym
A toolkit for developing and comparing reinforcement learning algorithms.
skolouri/jaccardSegment
Deeplab-resnet-101 in Pytorch with Jaccard loss
skolouri/prototypical-networks-tensorflow
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
skolouri/pycpd
Pure Numpy Implementation of the Coherent Point Drift Algorithm
skolouri/pytorch-magnet-loss
PyTorch implementation of "Metric Learning with Adaptive Density Discrimination"
skolouri/set_transformer
Pytorch implementation of set transformer
skolouri/skolouri.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
skolouri/wegl
The project webpage for Wasserstein Embedding for Graph Learning (WEGL)