Jihun Hamm

Dikutip oleh

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Daniel D. LeeTisch University Professor of ECE, Cornell UniversityEmail yang diverifikasi di alum.mit.edu
Akshay MehraTulane UniversityEmail yang diverifikasi di tulane.edu
Bhavya KailkhuraResearch Scientist, Lawrence Livermore National LaboratoryEmail yang diverifikasi di llnl.gov
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarEmail yang diverifikasi di ucsd.edu
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCEmail yang diverifikasi di ibm.com
Ruben GurUniversity of Pennsylvania Email yang diverifikasi di upenn.edu
Dong Hye YeAssistant Professor, Georgia State University, TReNDS CenterEmail yang diverifikasi di gsu.edu
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIEmail yang diverifikasi di pennmedicine.upenn.edu
Sebastian MikaEmail yang diverifikasi di sebastianmika.info
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail yang diverifikasi di tuebingen.mpg.de
Simon DennisProfessor, Melbourne School of Psychological Sciences, University of MelbourneEmail yang diverifikasi di unimelb.edu.au
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford UniversityEmail yang diverifikasi di stanford.edu
Yuanqing LinAibeeEmail yang diverifikasi di aibee.co
Bohyung HanProfessor, Seoul National UniversityEmail yang diverifikasi di snu.ac.kr
Dong XuanProfessor of Computer Science and Engineering, The Ohio-State UniversityEmail yang diverifikasi di cse.ohio-state.edu
Adam C. ChampionSenior Lecturer, The Ohio State UniversityEmail yang diverifikasi di cse.ohio-state.edu
Amy PinkhamThe University of Texas at DallasEmail yang diverifikasi di utdallas.edu
Jack SimMolocoEmail yang diverifikasi di moloco.com
Dongjin KwonGoogleEmail yang diverifikasi di google.com
Donghun "Don" LeeSchool of Business and Economics, Seattle Pacific UniversityEmail yang diverifikasi di spu.edu

Ikuti

Jihun Hamm

Tulane University

Email yang diverifikasi di tulane.edu - Beranda

Machine Learning Robust ML Privacy Adversarial Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Grassmann discriminant analysis: a unifying view on subspace-based learning J Hamm, DD Lee Proceedings of the 25th international conference on Machine learning, 376-383, 2008	786	2008
A kernel view of the dimensionality reduction of manifolds J Ham, DD Lee, S Mika, B Schölkopf Proceedings of the twenty-first international conference on Machine learning, 47, 2004	729	2004
Spectral methods for dimensionality reduction LK Saul, KQ Weinberger, J Hamm, F Sha, DD Lee Semisupervised learning, 293-308, 2006	389	2006
Automated facial action coding system for dynamic analysis of facial expressions in neuropsychiatric disorders J Hamm, CG Kohler, RC Gur, R Verma Journal of neuroscience methods 200 (2), 237-256, 2011	373	2011
Semisupervised alignment of manifolds. J Hamm, DD Lee, LK Saul AISTATS, 120-127, 2005	349	2005
Learning Privately from Multiparty Data J Hamm, P Cao, M Belkin Proceedings of The 33rd International Conference on Machine Learning (ICML …, 2016	202	2016
GRAM: A framework for geodesic registration on anatomical manifolds J Hamm, DH Ye, R Verma, C Davatzikos Medical image analysis 14 (5), 633-642, 2010	139	2010
Minimax Filter: Learning to Preserve Privacy from Inference Attacks J Hamm Journal of Machine Learning Research 18, 1-31, 2017	113	2017
Learning high dimensional correspondences from low dimensional manifolds JH Ham, DD Lee, LK Saul ICML workshop, 2003	97	2003
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices J Hamm, A Champion, G Chen, M Belkin, D Xuan IEEE International Conference on Distributed Computing Systems (ICDCS), 11-20, 2015	80	2015
Extended Grassmann kernels for subspace-based learning J Hamm, D Lee Advances in neural information processing systems 21, 2008	75	2008
Penalty Method for Inversion-Free Deep Bilevel Optimization A Mehra, J Hamm Asian Conference on Machine Learning (ACML), 2019	63	2019
Statistical Privacy for Streaming Traffic X Zhang, J Hamm, MK Reiter, Y Zhang Proceedings of the 26th Network and Distributed System Security Symposium …, 2019	60	2019
Privacy versus open science S Dennis, P Garrett, H Yim, J Hamm, AF Osth, V Sreekumar, B Stone Behavior research methods 51, 1839-1848, 2019	57	2019
Efficient large deformation registration via geodesics on a learned manifold of images J Hamm, C Davatzikos, R Verma International Conference on Medical Image Computing and Computer-Assisted …, 2009	54	2009
Automatic annotation of daily activity from smartphone-based multisensory streams J Hamm, B Stone, M Belkin, S Dennis Mobile Computing, Applications, and Services: 4th International Conference …, 2013	46	2013
Personalized video summarization with human in the loop B Han, J Hamm, J Sim 2011 IEEE Workshop on Applications of Computer Vision (WACV), 51-57, 2011	46	2011
Subspace-based learning with Grassmann kernels J Hamm University of Pennsylvania, 2008	44	2008
How Robust are Randomized Smoothing based Defenses to Data Poisoning? A Mehra, B Kailkhura, PY Chen, J Hamm Computer Vision and Pattern Recognition (CVPR), 2021	40	2021
Learning nonlinear appearance manifolds for robot localization J Ham, Y Lin, DD Lee 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005	39	2005

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