Soheil Kolouri
Soheil Kolouri
Computer Science, Vanderbilt University, Nashville, TN
Verified email at - Homepage
Cited by
Cited by
Image to image translation for domain adaptation
Z Murez, S Kolouri, D Kriegman, R Ramamoorthi, K Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Explainability methods for graph convolutional neural networks
PE Pope, S Kolouri, M Rostami, CE Martin, H Hoffmann
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Optimal mass transport: Signal processing and machine-learning applications
S Kolouri, SR Park, M Thorpe, D Slepcev, GK Rohde
IEEE signal processing magazine 34 (4), 43-59, 2017
Generalized sliced Wasserstein distances
S Kolouri, K Nadjahi, U Simsekli, R Badeau, GK Rohde
Neural Information Processing Systems, 2019
Sliced Wasserstein auto-encoders
S Kolouri, PE Pope, CE Martin, GK Rohde
International Conference on Learning Representations, 2019
Universal litmus patterns: Revealing backdoor attacks in cnns
S Kolouri, A Saha, H Pirsiavash, H Hoffmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Deep transfer learning for few-shot SAR image classification
M Rostami, S Kolouri, E Eaton, K Kim
Remote Sensing 11 (11), 1374, 2019
Sliced Wasserstein kernels for probability distributions
S Kolouri, Y Zou, GK Rohde
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Biological underpinnings for lifelong learning machines
D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ...
Nature Machine Intelligence 4 (3), 196-210, 2022
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
S Kolouri, GK Rohde, H Hoffmann
IEEE Conference on Computer vision and pattern recognition, 3427-3436, 2018
Transport-based single frame super resolution of very low resolution face images
S Kolouri, GK Rohde
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
The radon cumulative distribution transform and its application to image classification
S Kolouri, SR Park, GK Rohde
IEEE transactions on image processing 25 (2), 920-934, 2015
Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning
JA Ozolek, AB Tosun, W Wang, C Chen, S Kolouri, S Basu, H Huang, ...
Medical image analysis 18 (5), 772-780, 2014
Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry
S Basu, S Kolouri, GK Rohde
Proceedings of the National Academy of Sciences 111 (9), 3448-3453, 2014
Wasserstein embedding for graph learning
S Kolouri, N Naderializadeh, GK Rohde, H Hoffmann
International Conference on Learning Representations (ICLR), 2021
A Transportation Distance for Signal Analysis
M Thorpe, S Park, S Kolouri, GK Rohde, D Slepčev
Journal of mathematical imaging and vision 59, 187-210, 2017
Statistical and topological properties of sliced probability divergences
K Nadjahi, A Durmus, L Chizat, S Kolouri, S Shahrampour, U Şimşekli
Neural Information Processing Systems, 2020
Gat: Generative adversarial training for adversarial example detection and robust classification
X Yin, S Kolouri, GK Rohde
arXiv preprint arXiv:1905.11475, 2019
Complementary learning for overcoming catastrophic forgetting using experience replay
M Rostami, S Kolouri, PK Pilly
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
The cumulative distribution transform and linear pattern classification
SR Park, S Kolouri, S Kundu, GK Rohde
Applied and computational harmonic analysis 45 (3), 616-641, 2018
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