Jae Oh Woo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Mutual Information

Spatially Correlated

Shannon Entropy

Active Learning Framework

Top Venues

J. Appl. Probab.

SIAM J. Discret. Math.

Publications

JoonHo Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation. CoRR (2024)
Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert
Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract). AAAI (2023)
JoonHo Lee, Jae Oh Woo, Hankyu Moon, Kwonho Lee
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples. ICCV (2023)
JoonHo Lee, Jae Oh Woo, Hankyu Moon, Kwonho Lee
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples. CoRR (2023)
Jae Oh Woo
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle. ICLR (2023)
Jae Oh Woo
Analytic Mutual Information in Bayesian Neural Networks. ISIT (2022)
Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation. CoRR (2022)
Jae Oh Woo
Analytic Mutual Information in Bayesian Neural Networks. CoRR (2022)
Mokshay Madiman, Liyao Wang, Jae Oh Woo
Entropy Inequalities for Sums in Prime Cyclic Groups. SIAM J. Discret. Math. 35 (3) (2021)
Heng Hao, Sima Didari, Jae Oh Woo, Hankyu Moon, Patrick Bangert
Highly Efficient Representation and Active Learning Framework for Imbalanced Data and its Application to COVID-19 X-Ray Classification. CoRR (2021)
Jae Oh Woo
BABA: Beta Approximation for Bayesian Active Learning. CoRR (2021)
Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert
PatchNet: Unsupervised Object Discovery based on Patch Embedding. CoRR (2021)
François Baccelli, Sriram Vishwanath, Jae Oh Woo
On the steady state of continuous-time stochastic opinion dynamics with power-law confidence. J. Appl. Probab. 58 (3) (2021)
Mokshay Madiman, Liyao Wang, Jae Oh Woo
Majorization and Rényi entropy inequalities via Sperner theory. Discret. Math. 342 (10) (2019)
Chang-Sik Choi, Jae Oh Woo, Jeffrey G. Andrews
An Analytical Framework for Modeling a Spatially Repulsive Cellular Network. IEEE Trans. Commun. 66 (2) (2018)
Mokshay M. Madiman, Liyao Wang, Jae Oh Woo
Discrete Entropy Power Inequalities via Sperner Theory. CoRR (2017)
Chang-Sik Choi, Jae Oh Woo, Jeffrey G. Andrews
On the coverage probability of a spatially correlated network. ISIT (2017)
Chang-Sik Choi, Jae Oh Woo, Jeffrey G. Andrews
Modeling a Spatially Correlated Cellular Network with Strong Repulsion. CoRR (2017)
Jae Oh Woo, François Baccelli, Sriram Vishwanath
On the Steady State of Continuous Time Stochastic Opinion Dynamics. CoRR (2017)
Mokshay M. Madiman, Liyao Wang, Jae Oh Woo
Entropy Inequalities for Sums in Prime Cyclic Groups. CoRR (2017)
François Baccelli, Jae Oh Woo
On the entropy and mutual information of point processes. ISIT (2016)
Jae Oh Woo, Mokshay M. Madiman
A discrete entropy power inequality for uniform distributions. ISIT (2015)
Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo
Redundancy of Exchangeable Estimators. CoRR (2014)
Liyao Wang, Jae Oh Woo, Mokshay M. Madiman
A lower bound on the Rényi entropy of convolutions in the integers. ISIT (2014)
Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo
Redundancy of Exchangeable Estimators. Entropy 16 (10) (2014)