Soheil Kolouri

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Gustavo Kunde RohdeUniversity of VirginiaEmail yang diverifikasi di virginia.edu
Mohammad RostamiUniversity of Southern CaliforniaEmail yang diverifikasi di seas.upenn.edu
Praveen K. PillySenior Research Scientist, HRL LaboratoriesEmail yang diverifikasi di hrl.com
Hamed PirsiavashAssociate Professor at University of California, DavisEmail yang diverifikasi di ucdavis.edu
Matthew ThorpeAssociate Professor in Statistics, University of WarwickEmail yang diverifikasi di warwick.ac.uk
Yikun BaiPostdoc, Computer Science department, Vanderbilt UniversityEmail yang diverifikasi di vanderbilt.edu
Dejan SlepčevProfessor of Mathematical Sciences, Carnegie Mellon UniversityEmail yang diverifikasi di math.cmu.edu
Andrea SoltoggioComputer Science Department, Loughborough UniversityEmail yang diverifikasi di lboro.ac.uk
Umut SimsekliINRIA - École Normale SupérieureEmail yang diverifikasi di inria.fr
Kimia NadjahiCNRS - ENS ParisEmail yang diverifikasi di di.ens.fr
Eric EatonUniversity of PennsylvaniaEmail yang diverifikasi di cis.upenn.edu
Navid NaderiAlizadehAssistant Research Professor of Biostatistics & Bioinformatics, Duke UniversityEmail yang diverifikasi di duke.edu
Shahin ShahrampourAssistant Professor, Northeastern UniversityEmail yang diverifikasi di northeastern.edu
Javad MohammadiAssistant Professor, UT AustinEmail yang diverifikasi di utexas.edu
Mahmood Azimi-SadjadiProfessor of Electrical and Computer Engineering, Colorado State UniversityEmail yang diverifikasi di engr.colostate.edu
Vladimir BravermanProfessor of Computer Science, Johns Hopkins University; Google Research; Adjunct Professor, Rice U.Email yang diverifikasi di cs.jhu.edu

Ikuti

Soheil Kolouri

Computer Science, Vanderbilt University, Nashville, TN

Email yang diverifikasi di vanderbilt.edu - Beranda

Machine Learning Optimal Transport Computer Vision


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	909	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	653	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	561	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	301*	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	233	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
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
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	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	82	2018

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