Albert No

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Tsachy WeissmanProfessor of Electrical Engineering at Stanford UniversityVerified email at stanford.edu
Berivan IsikGoogleVerified email at google.com
Kartik VenkatGraduate Student, Stanford UniversityVerified email at alumni.stanford.edu
Sunghwan KimUniversity of UlsanVerified email at ulsan.ac.kr
Hosung ParkProfessor at School of Electronic and Computer Engineering, Chonnam National UniversityVerified email at jnu.ac.kr
Jong-Seon NoSeoul National University, Department of Electrical and Computer EngineeringVerified email at snu.ac.kr
idoia ochoaUniversity of NavarraVerified email at unav.es
Ernest K. RyuUniversity of California, Los AngelesVerified email at math.ucla.edu
Amir IngberPrincipal Scientist, PineconeVerified email at pinecone.io
Jeong Wook LeeAssociate ProfessorVerified email at postech.ac.kr
Alexandros ManolakosSenior Staff Systems Engineer, WR&D Qualcomm Inc. San Diego, CAVerified email at stanford.edu
Thomas CourtadeAssociate Professor, UC BerkeleyVerified email at berkeley.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyVerified email at berkeley.edu
Joo Young ChoiSeoul National University, KRAFTON AIVerified email at snu.ac.kr
Mingyue JiAssociate Professor, Electrical and Computer Engineering, University of FloridaVerified email at utah.edu
Minseok ChoiKyung Hee UniversityVerified email at khu.ac.kr
Joongheon KimKorea University Professor (Electrical Engineering) | USC PhD (Computer Science)Verified email at korea.ac.kr
Hyun KimAssociate Professor, Seoul National University of Science and TechnologyVerified email at seoultech.ac.kr
Hyuk-Jae LeeSeoul National University, Department of Electrical and Computer EngineeringVerified email at capp.snu.ac.kr
Jongmin LeeSeoul National UniversityVerified email at snu.ac.kr

Albert No

Associate Professor of Department of Artificial Intelligence at Yonsei University

Verified email at yonsei.ac.kr - Homepage

Learning Theory Information Theory Source Coding Probability Theory


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Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish, Stat 330/CME 362 Collaboration, ... Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013	127	2013
Markov decision policies for dynamic video delivery in wireless caching networks M Choi, A No, M Ji, J Kim IEEE Transactions on Wireless Communications 18 (12), 5705-5718, 2019	64	2019
Cooperative sequence clustering and decoding for DNA storage system with fountain codes J Jeong, SJ Park, JW Kim, JS No, HH Jeon, JW Lee, A No, S Kim, H Park Bioinformatics 37 (19), 3136-3143, 2021	46	2021
Reference based genome compression BG Chern, I Ochoa, A Manolakos, A No, K Venkat, T Weissman 2012 IEEE Information Theory Workshop, 427-431, 2012	44	2012
An information-theoretic justification for model pruning B Isik, T Weissman, A No International Conference on Artificial Intelligence and Statistics, 3821-3846, 2022	42	2022
Information measures: the curious case of the binary alphabet J Jiao, TA Courtade, A No, K Venkat, T Weissman IEEE Transactions on Information Theory 60 (12), 7616-7626, 2014	42	2014
Prune your model before distill it J Park, A No European Conference on Computer Vision, 120-136, 2022	38	2022
Strong successive refinability and rate-distortion-complexity tradeoff A No, A Ingber, T Weissman IEEE Transactions on Information Theory 62 (6), 3618-3635, 2016	33	2016
Learned smartphone ISP on mobile GPUs with deep learning, mobile AI & AIM 2022 challenge: report A Ignatov, R Timofte, S Liu, C Feng, F Bai, X Wang, L Lei, Z Yi, Y Xiang, ... European Conference on Computer Vision, 44-70, 2022	23	2022
SPIHT algorithm with adaptive selection of compression ratio depending on DWT coefficients H Kim, A No, HJ Lee IEEE Transactions on Multimedia 20 (12), 3200-3211, 2018	23	2018
Exact optimality of communication-privacy-utility tradeoffs in distributed mean estimation B Isik, WN Chen, A Ozgur, T Weissman, A No Advances in Neural Information Processing Systems 36, 37761-37785, 2023	19	2023
Error rate-based log-likelihood ratio processing for low-density parity-check codes in DNA storage X Lu, J Jeong, JW Kim, JS No, H Park, A No, S Kim Ieee Access 8, 162892-162902, 2020	19	2020
Rateless lossy compression via the extremes A No, T Weissman IEEE transactions on information theory 62 (10), 5484-5495, 2016	19	2016
Universality of logarithmic loss in lossy compression A No, T Weissman 2015 IEEE International Symposium on Information Theory (ISIT), 2166-2170, 2015	16	2015
Neural tangent kernel analysis of deep narrow neural networks J Lee, JY Choi, EK Ryu, A No International Conference on Machine Learning, 12282-12351, 2022	14	2022
Successive pruning for model compression via rate distortion theory B Isik, A No, T Weissman arXiv preprint arXiv:2102.08329, 2021	9	2021
Generative adversarial networks for DNA storage channel simulator S Kang, Y Gao, J Jeong, SJ Park, JW Kim, JS No, H Jeon, JW Lee, S Kim, ... IEEE Access 11, 3781-3793, 2023	8	2023
Age Estimation from fMRI data using recurrent neural network Y Gao, A No Applied Sciences 12 (2), 749, 2022	8	2022
Rate-distortion theoretic model compression: Successive refinement for pruning B Isik, A No, T Weissman arXiv preprint arXiv:2102.08329 9, 2021	8	2021
Universality of logarithmic loss in successive refinement A No Entropy 21 (2), 158, 2019	7	2019

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