متابعة
Jongha Jon Ryu
Jongha Jon Ryu
Postdoctoral Associate at MIT
بريد إلكتروني تم التحقق منه على mit.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Feedback recurrent autoencoder‏
Y Yang, G Sautière, JJ Ryu, TS Cohen‏
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020‏
242020
Nearest neighbor density functional estimation from inverse Laplace transform‏
JJ Ryu*, S Ganguly*, YH Kim, YK Noh, DD Lee‏
IEEE Transactions on Information Theory 68 (6), 3511-3551, 2022‏
122022
Energy-based sequence gans for recommendation and their connection to imitation learning‏
J Yoo, H Ha, J Yi, J Ryu, C Kim, JW Ha, YH Kim, S Yoon‏
arXiv preprint arXiv:1706.09200, 2017‏
122017
Variations on a Theme by Liu, Cuff, and Verdu: The Power of Posterior Sampling‏
A Bhatt, JT Huang, YH Kim, JJ Ryu, P Sen‏
The IEEE Information Theory Workshop, pp. 290–294, 2018‏
112018
Monte Carlo methods for randomized likelihood decoding‏
A Bhatt, JT Huang, YH Kim, JJ Ryu, P Sen‏
The 56th Annual Allerton Conference on Communication, Control, and Computing, 2018‏
102018
On confidence sequences for bounded random processes via universal gambling strategies‏
JJ Ryu, A Bhatt‏
IEEE Transactions on Information Theory, 2024‏
62024
On universal portfolios with continuous side information‏
A Bhatt*, JJ Ryu*, YH Kim‏
International conference on artificial intelligence and statistics, 4147-4163, 2023‏
62023
Conditional distribution learning with neural networks and its application to universal image denoising‏
J Ryu, YH Kim‏
2018 25th IEEE International Conference on Image Processing (ICIP), 3214-3218, 2018‏
42018
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?‏
M Shen*, JJ Ryu*, S Ghosh, Y Bu, P Sattigeri, S Das, GW Wornell‏
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024‏
3*2024
Group fairness with uncertainty in sensitive attributes‏
A Shah, M Shen, JJ Ryu, S Das, P Sattigeri, Y Bu, GW Wornell‏
ISIT 2024, 2024‏
32024
Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning‏
JJ Ryu, Y Choi, YH Kim, M El-Khamy, J Lee‏
CoRR, 2019‏
3*2019
Gambling-based confidence sequences for bounded random vectors‏
JJ Ryu, GW Wornell‏
ICML 2024, 2024‏
22024
Parameter-free online linear optimization with side information via universal coin betting‏
JJ Ryu, A Bhatt, YH Kim‏
AISTATS 2022 151, 6022-6044, 2022‏
22022
Learning with Succinct Common Representation Based on Wyner's Common Information‏
JJ Ryu, Y Choi, YH Kim, M El-Khamy, J Lee‏
arXiv preprint arXiv:1905.10945, 2019‏
22019
Operator SVD with Neural Networks via Nested Low-Rank Approximation‏
JJ Ryu, X Xu, HS Erol, Y Bu, L Zheng, GW Wornell‏
ICML 2024, 2024‏
12024
Variational Inference via a Joint Latent Variable Model with Common Information Extraction‏
JJ Ryu, YH Kim, Y Choi, M El-Khamy, J Lee‏
Third Workshop on Bayesian Deep Learning (NeurIPS 2018), Montréal, Canada, 1-8, 2018‏
12018
Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing‏
JJ Ryu, J Kwon, B Koppe, KS Jun‏
arXiv preprint arXiv:2502.10826, 2025‏
2025
Score-of-Mixture Training: Training One-Step Generative Models Made Simple‏
T Jayashankar*, JJ Ryu*, G Wornell‏
arXiv preprint arXiv:2502.09609, 2025‏
2025
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions‏
T Jayashankar, JJ Ryu, G Wornell‏
arXiv e-prints, arXiv: 2502.09609, 2025‏
2025
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation‏
JJ Ryu, A Shah, GW Wornell‏
arXiv preprint arXiv:2409.18209, 2024‏
2024
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20