Soheil Kolouri

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Gustavo Kunde RohdeUniversity of VirginiaAdresse e-mail validée de virginia.edu
Mohammad RostamiUniversity of Southern CaliforniaAdresse e-mail validée de seas.upenn.edu
Praveen K. PillySenior Research Scientist, HRL LaboratoriesAdresse e-mail validée de hrl.com
Hamed PirsiavashAssociate Professor at University of California, DavisAdresse e-mail validée de ucdavis.edu
Matthew ThorpeAssociate Professor in Statistics, University of WarwickAdresse e-mail validée de warwick.ac.uk
Yikun BaiPostdoc, Computer Science department, Vanderbilt UniversityAdresse e-mail validée de vanderbilt.edu
Dejan SlepčevProfessor of Mathematical Sciences, Carnegie Mellon UniversityAdresse e-mail validée de math.cmu.edu
Andrea SoltoggioComputer Science Department, Loughborough UniversityAdresse e-mail validée de lboro.ac.uk
Umut SimsekliINRIA - École Normale SupérieureAdresse e-mail validée de inria.fr
Kimia NadjahiCNRS - ENS ParisAdresse e-mail validée de di.ens.fr
Eric EatonUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Navid NaderiAlizadehAssistant Research Professor of Biostatistics & Bioinformatics, Duke UniversityAdresse e-mail validée de duke.edu
Shahin ShahrampourAssistant Professor, Northeastern UniversityAdresse e-mail validée de northeastern.edu
Javad MohammadiAssistant Professor, UT AustinAdresse e-mail validée de utexas.edu
Mahmood Azimi-SadjadiProfessor of Electrical and Computer Engineering, Colorado State UniversityAdresse e-mail validée de engr.colostate.edu
Vladimir BravermanProfessor of Computer Science, Johns Hopkins University; Google Research; Adjunct Professor, Rice U.Adresse e-mail validée de cs.jhu.edu

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Soheil Kolouri

Computer Science, Vanderbilt University, Nashville, TN

Adresse e-mail validée de vanderbilt.edu - Page d'accueil

Machine Learning Optimal Transport Computer Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	907	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	648	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	560	2017
Generalized sliced Wasserstein distances S Kolouri, K Nadjahi, U Simsekli, R Badeau, GK Rohde Neural Information Processing Systems, 2019	349	2019
Sliced Wasserstein auto-encoders S Kolouri, PE Pope, CE Martin, GK Rohde International Conference on Learning Representations, 2019	302*	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	274	2020
Deep transfer learning for few-shot SAR image classification M Rostami, S Kolouri, E Eaton, K Kim Remote Sensing 11 (11), 1374, 2019	242	2019
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	231	2022
Sliced Wasserstein kernels for probability distributions S Kolouri, Y Zou, GK Rohde Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	208	2016
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	165	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	116	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	104	2015
Wasserstein embedding for graph learning S Kolouri, N Naderializadeh, GK Rohde, H Hoffmann International Conference on Learning Representations (ICLR), 2021	101	2021
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	98	2014
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	96	2020
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	89	2014
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	87	2017
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	84	2019
Gat: Generative adversarial training for adversarial example detection and robust classification X Yin, S Kolouri, GK Rohde arXiv preprint arXiv:1905.11475, 2019	83*	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	81	2018

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