Min-Oh Jeong

According to our database, Min-Oh Jeong authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Retrieving Data Permutations From Noisy Observations: Asymptotics.

Minoh Jeong, Alex Dytso, Martina Cardone

IEEE Trans. Inf. Theory, April, 2024

Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations.

Minoh Jeong, Min Namgung, Zae Myung Kim, Dongyeop Kang, Yao-Yi Chiang, Alfred Hero

CoRR, 2024

A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE.

Minoh Jeong, Alex Dytso, Martina Cardone

CoRR, 2024

On the Secrecy Capacity of 1-2-1 Atomic Networks.

Mohammad Milanian, Minoh Jeong, Martina Cardone

Proceedings of the IEEE International Symposium on Information Theory, 2024

Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels.

Minoh Jeong, Martina Cardone, Alex Dytso

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Demystifying the Optimal Performance of Multi-Class Classification.

Minoh Jeong, Martina Cardone, Alex Dytso

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs.

Min-Oh Jeong, Alex Dytso, Martina Cardone

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Ranking Recovery under Privacy Considerations.

Min-Oh Jeong, Alex Dytso, Martina Cardone

Trans. Mach. Learn. Res., 2022

On the Ranking Recovery from Noisy Observations up to a Distortion.

Min-Oh Jeong, Martina Cardone, Alex Dytso

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics.

Min-Oh Jeong, Alex Dytso, Martina Cardone

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Gradient of Error Probability of $M$-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise.

Min-Oh Jeong, Alex Dytso, Martina Cardone

IEEE Signal Process. Lett., 2020

Recovering Data Permutations From Noisy Observations: The Linear Regime.

Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor

IEEE J. Sel. Areas Inf. Theory, 2020

Recovering Data Permutation from Noisy Observations: The Linear Regime.

Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor

CoRR, 2020

Recovering Structure of Noisy Data through Hypothesis Testing.

Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

SC-Fano Decoding of Polar Codes.

Min-Oh Jeong, Song-Nam Hong

IEEE Access, 2019

2018

An Efficient Construction of Rate-Compatible Punctured Polar (RCPP) Codes Using Hierarchical Puncturing.

Song-Nam Hong, Min-Oh Jeong

IEEE Trans. Commun., 2018