Jump to preprints, conference papers, workshop papers, journal papers, patents, thesis.
[C16] Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy
Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, and Zheng Xu
International Conference on Machine Learning (ICML2024)
[C15] Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, and Ernest K. Ryu
Neural Information Processing Systems (NeurIPS2023)
[C14] Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, and Albert No
Neural Information Processing Systems (NeurIPS2023)
(based on the preliminary version [W3])
[C13] Prune Your Model Before Distill It
Jinhyuk Park and Albert No
European Conference on Computer Vision (ECCV2022)
[C12] Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
Jongmin Lee, Joo Young Choi, Ernest K. Ryu, and Albert No
International Conference on Machine Learning (ICML2022)
[C11] An Information-Theoretic Justification for Model Pruning
Berivan Isik, Tsachy Weissman, and Albert No
International Conference on Artificial Intelligence and Statistics (AISTATS2022)
(based on the preliminary version [W1])
[P1] Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model
Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, and Ernest K. Ryu
submitted (based on the preliminary version [W5])
[C16] Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy
Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, and Zheng Xu
International Conference on Machine Learning (ICML2024)
[C15] Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, and Ernest K. Ryu
Neural Information Processing Systems (NeurIPS2023)
[C14] Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, and Albert No
Neural Information Processing Systems (NeurIPS2023)
(based on the preliminary version [W3])
[C13] Prune Your Model Before Distill It
Jinhyuk Park and Albert No
European Conference on Computer Vision (ECCV2022)
[C12] Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
Jongmin Lee, Joo Young Choi, Ernest K. Ryu, and Albert No
International Conference on Machine Learning (ICML2022)
[C11] An Information-Theoretic Justification for Model Pruning
Berivan Isik, Tsachy Weissman, and Albert No
International Conference on Artificial Intelligence and Statistics (AISTATS2022)
(based on the preliminary version [W1])
[C10] WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
Albert No, Taeho Yoon, Se-Hyeon Kwon, and Ernest K. Ryu
International Conference on Machine Learning (ICML2021)
[C9] CROMqs: Rateless Lossy Compression of Quality Scores
Idoia Ochoa, Albert No, Mikel Hernaez, and Tsachy Weissman
Information Theory Workshop (ITW2016)
[C8] Universality of Logarithmic Loss in Lossy Compression
Albert No and Tsachy Weissman
International Symposium on Information Theory (ISIT2015)
[C7] Rateless Lossy Compression via the Extremes
Albert No and Tsachy Weissman
Annual Allerton Conference on Communication, Control, and Computing, 2014
[C6] Information Divergences and the Curious Case of the Binary Alphabet
Jiantao Jiao, Thomas Courtade, Albert No, Kartik Venkat, and Tsachy Weissman
International Symposium on Information Theory (ISIT2014)
[C5] Strong Successive Refinability: Sufficient Conditions
Albert No, Amir Ingber, and Tsachy Weissman
International Symposium on Information Theory (ISIT2014)
[C4] Complexity and Rate-Distortion Tradeoff via Successive Refinement
Albert No, Amir Ingber, and Tsachy Weissman
Annual Allerton Conference on Communication, Control, and Computing, 2013
[C3] Minimax Filtering via Relations between Information and Estimation
Albert No and Tsachy Weissman
International Symposium on Information Theory (ISIT2013)
[C2] Reference Based Genome Compression
Bobbie G. Chern, Idoia Ochoa, Alexandros Manolakos, Albert No, Kartik Venkat, and Tsachy Weissman
Information Theory Workshop (ITW2012)
[C1] Joint Source-Channel Coding of one Random Variable over the Poisson Channel
Albert No, Kartik Venkat, and Tsachy Weissman
International Symposium on Information Theory (ISIT2012)
[W5] LoRA can Replace Time and Class Embeddings in Diffusion Probabilistic Models
Joo Young Choi, Jaesung Park, Inkyu Park, Jaewoong Cho, Albert No, and Ernest Ryu,
Neural Information Processing Systems Workshop (Diffusion Models @ NeurIPS2023)
[W4] Fully Quantized Always-on Face Detector Considering Mobile Image Sensors
Haechang Lee, Wongi Jeong, Dongil Ryu, Hyunwoo Je, Albert No, Kijeong Kim, Se Young Chun
International Conference on Computer Vision Workshop (LBQNN @ ICCV2023, Oral)
[W3] Exact Optimality in Communication-Privacy-Utility Tradeoffs
Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, and Albert No
International Conference on Machine Learning Workshop (FL @ ICML2023)
[W2] Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, and Mingxuan Cai
European Conference on Computer Vision Workshop (AIM @ ECCV2022)
[W1] Neural Network Pruning via Rate-Distortion Theory
Berivan Isik, Albert No, and Tsachy Weissman
Sparsity in Neural Networks Workshop (SNN2021, Spotlight)
[J20] Adaptable DNA Storage Coding: An Efficient Framework for Homopolymer Constraint Transitions
Yunfei Gao and Albert No
IEEE Access, January 2024
[J19] How Does a Transformer Learn Compression? An Attention Study on Huffman and LZ4
Beomseok Seo and Albert No
IEEE Access, December 2023
[J18] Reducing cost in DNA-based data storage by sequence analysis-aided soft information decoding of variable-length reads
Seong-Joon Park, Sunghwan Kim, Jaeho Jeong, Albert No, Jong-Seon No, and Hosung Park
Bioinformatics, September 2023
[J17] PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image Sensors
Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, and Albert No
IEEE Access, May 2023
[J16] Generative Adversarial Networks for DNA Storage Channel Simulator
Sanghoon Kang, Yunfei Gao, Jaeho Jeong, Seong-Joon Park, Jae-Won Kim, Jong-Seon No, Ha Hyeon Jeon, Jeong Wook Lee, Sunghwan Kim, Hosung Park, and Albert No
IEEE Access, January 2023
[J15] Age Estimation from fMRI Data Using Recurrent Neural Network
Yunfei Gao and Albert No
Applied Science, January 2022
[J14] FCLQC: Fast and Concurrent Lossless Quality Scores Compressor
Minhyeok Cho and Albert No
BMC Bioinformatics, December 2021
[J13] Cooperative Sequence Clustering and Decoding for DNA Storage System with Fountain Codes
Jaeho Jeong, Seong-Joon Park, Jae-Won Kim, Jong-Seon No, Ha Hyeon Jeon, Jeong Wook Lee, Albert No, Sunghwan Kim, and Hosung Park
Bioinformatics, April 2021
[J12] Error Rate-Based Log-Likelihood Ratio Processing for Low-Density Parity-Check Codes in DNA Storage
Xiaozhou Lu, Jaeho Jeong, Jae-Won Kim, Jong-Seon No, Hosung Park, Albert No, Sunghwan Kim
IEEE Access, September 2020
[J11] CROMqs: Rateless Lossy Compression of Quality Scores
Albert No, Mikel Hernaez, and Idoia Ochoa
Journal of Bioinformatics and Computational Biology, September 2020
[J10] Nonasymptotic Upper Bounds on Binary Single Deletion Codes via Mixed Integer Linear Programming
Albert No
Entropy, December 2019
[J9] Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks
Minseok Choi, Albert No, Mingyue Ji, and Joongheon Kim
IEEE Transactions on Wireless Communications, December 2019
[J8] Universality of Logarithmic Loss in Fixed-Length Lossy Compression
Albert No
Entropy, June 2019
[J7] Universality of Logarithmic Loss in Successive Refinement
Albert No
Entropy, February 2019
[J6] SPIHT Algorithm with Adaptive Selection of Compression Ratio Depending on DWT Coefficients
Hyun Kim, Albert No, and Hyuk-jae Lee
IEEE Transactions on Multimedia, December 2018
[J5] Information Geometric Approach on Most Informative Boolean Function Conjecture
Albert No
Entropy, September 2018
[J4] Rateless Lossy Compression via the Extremes
Albert No and Tsachy Weissman
IEEE Transactions on Information Theory, October 2016
[J3] Strong Successive Refinability and Rate-Distortion-Complexity Tradeoff
Albert No, Amir Ingber, and Tsachy Weissman
IEEE Transactions on Information Theory, June 2016
[J2] Information Measures: The Curious Case of the Binary Alphabet
Jiantao Jiao, Thomas A. Courtade, Albert No, Katik Venkat, and Tsachy Weissman
IEEE Transactions on Information Theory, December 2014
[J1] Minimax Filtering via Relations between Information and Estimation
Albert No and Tsachy Weissman
IEEE Transactions on Information Theory, August 2014
DNA 저장 장치의 연성 정보 기반 복호화 방법, 프로그램 및 장치
Sunghwan Kim, Hosung Park, Albert No, Jae-Won Kim, Jaeho Jeong, and Jong-Seon No
Korean Patent (KR 10-2339723), December 2021
데이터 압축 및 압축해제방법
Albert No
Korean Patent (KR 10-2016125 B1), August 2019
Rateless Lossy Compression via the Extremes
PhD Thesis, Stanford University, 2015
Advisor: Tsachy Weissman