| A note on preconditioning by low-stretch spanning trees DA Spielman, J Woo arXiv preprint arXiv:0903.2816, 2009 | 59 | 2009 |
| A lower bound on the Rényi entropy of convolutions in the integers L Wang, JO Woo, M Madiman 2014 IEEE International Symposium on Information Theory, 2829-2833, 2014 | 27 | 2014 |
| Majorization and Renyi Entropy Inequalities via Sperner Theory M Madiman, L Wang, JO Woo Discrete Mathematics 342 (10), 2911-2923, 2019 | 26* | 2019 |
| Entropy inequalities for sums in prime cyclic groups M Madiman, L Wang, JO Woo SIAM Journal on Discrete Mathematics, 2021, 2021 | 23 | 2021 |
| A discrete entropy power inequality for uniform distributions JO Woo, M Madiman 2015 IEEE International Symposium on Information Theory (ISIT), 1625-1629, 2015 | 20 | 2015 |
| An Analytical Framework for Modeling a Spatially Repulsive Cellular Network CS Choi, JO Woo, JG Andrews IEEE Transactions on Communications, 2017 | 18* | 2017 |
| On the entropy and mutual information of point processes F Baccelli, JO Woo 2016 IEEE International Symposium on Information Theory (ISIT), 695-699, 2016 | 18 | 2016 |
| Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification H Hao, H Moon, S Didari, JO Woo, P Bangert NeurIPS Data-centric AI Workshop, 2021 | 14* | 2021 |
| Active learning performance in labeling radiology images is 90% effective P Bangert, H Moon, JO Woo, S Didari, H Hao Frontiers in radiology 1, 748968, 2021 | 12 | 2021 |
| Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle JO Woo International Conference on Learning Representations (ICLR), 2023 | 10* | 2023 |
| Analytic Mutual Information in Bayesian Neural Networks JO Woo 2022 IEEE International Symposium on Information Theory (ISIT), 2022 | 5 | 2022 |
| Medical image labeling via active learning is 90% effective P Bangert, H Moon, JO Woo, S Didari, H Hao Future of information and communication conference, 291-310, 2022 | 4 | 2022 |
| On the coverage probability of a spatially correlated network CS Choi, JO Woo, JG Andrews 2017 IEEE International Symposium on Information Theory (ISIT), 466-470, 2017 | 3 | 2017 |
| Redundancy of exchangeable estimators NP Santhanam, AD Sarwate, JO Woo Entropy 16 (10), 5339-5357, 2014 | 3 | 2014 |
| Unsupervised contrastive representation learning for 3D mesh segmentation (student abstract) A Haque, H Moon, H Hao, S Didari, JO Woo, P Bangert Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16222 …, 2023 | 2* | 2023 |
| Unsupervised accuracy estimation of deep visual models using domain-adaptive adversarial perturbation without source samples JH Lee, JO Woo, H Moon, K Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| PatchNet: unsupervised object discovery based on patch embedding H Moon, H Hao, S Didari, JO Woo, P Bangert arXiv preprint arXiv:2106.08599, 2021 | 2 | 2021 |
| Information Theoretic Inequalities, Limit Theorems, and Universal Compression over Unknown Alphabets JO Woo Ph.D. Thesis, Yale University, 2015 | 2 | 2015 |
| Bayesian Active Learning for Semantic Segmentation S Didari, W Hu, JO Woo, H Hao, H Moon, S Min arXiv preprint arXiv:2408.01694, 2024 | | 2024 |
| Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation JH Lee, JO Woo, J Seok, P Hassanzadeh, W Jang, JY Son, S Didari, ... arXiv preprint arXiv:2405.06424, 2024 | | 2024 |
Patrick BangertSearce Inc.在 algorithmica-technologies.com 的电子邮件经过验证
