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Jongha Jon Ryu
Jongha Jon Ryu
Postdoctoral Associate at MIT
E-mailová adresa ověřena na: mit.edu - Domovská stránka
Název
Citace
Citace
Rok
Feedback recurrent autoencoder
Y Yang, G Sautière, JJ Ryu, TS Cohen
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
252020
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
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
92022
On universal portfolios with continuous side information
A Bhatt, JJ Ryu, YH Kim
International Conference on Artificial Intelligence and Statistics, 4147-4163, 2023
62023
On confidence sequences for bounded random processes via universal gambling strategies
JJ Ryu, A Bhatt
IEEE Transactions on Information Theory, 2024
52024
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
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
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
2*2024
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
Gambling-Based Confidence Sequences for Bounded Random Vectors
JJ Ryu, GW Wornell
ICML 2024, 2024
12024
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
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
JJ Ryu, A Shah, GW Wornell
arXiv preprint arXiv:2409.18209, 2024
2024
Method and apparatus for stochastic inference between multiple random variables via common representation
RYU Jongha, YJ Choi, M El-Khamy, J Lee
US Patent App. 18/125,897, 2023
2023
Method and apparatus for stochastic inference between multiple random variables via common representation
RYU Jongha, YJ Choi, M El-Khamy, J Lee
US Patent 11,620,555, 2023
2023
Method and apparatus for learning stochastic inference models between multiple random variables with unpaired data
YJ Choi, RYU Jongha, M El-Khamy, J Lee, YH Kim
US Patent 11,615,317, 2023
2023
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20