| Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps B Kim, J Seo, SH Jeon, J Koo, J Choe, T Jeon ICCV 2019 Workshop on Interpreting and Explaining Visual Artificial …, 2019 | 70 | 2019 |
| Bridging Adversarial Robustness and Gradient Interpretability B Kim, J Seo, T Jeon ICLR 2019 Workshop on Safe Machine Learning: Specification, Robustness, and …, 2019 | 43 | 2019 |
| Minimizing Trajectory Curvature of ODE-based Generative Models S Lee, B Kim, JC Ye ICML 2023, 2023 | 32 | 2023 |
| Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative J Seo, J Choe, J Koo, S Jeon, B Kim, T Jeon ICML 2018 Workshop on Human Interpretability in Machine Learning (WHI@ICML18), 2018 | 28 | 2018 |
| Unpaired Image-to-Image Translation via Neural Schrödinger Bridge B Kim*, G Kwon*, K Kim, JC Ye ICLR 2024, 2024 | 26 | 2024 |
| Denoising MCMC for Accelerating Diffusion-Based Generative Models B Kim, JC Ye ICML 2023 Oral Paper, 2023 | 8 | 2023 |
| Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector J Seo, S Lee, B Kim, T Jeon NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance …, 2019 | 8 | 2019 |
| Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models GY Park*, J Kim*, B Kim, SW Lee, JC Ye NeurIPS 2023, 2023 | 6 | 2023 |
| Energy-Based Contrastive Learning of Visual Representations B Kim, JC Ye NeurIPS 2022 Oral Paper, 2022 | 5 | 2022 |
| Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models B Kim, JC Ye arXiv preprint arXiv:2205.14817, 2022 | 1 | 2022 |
| Generalized Consistency Trajectory Models for Image Manipulation B Kim*, J Kim*, J Kim, JC Ye arXiv preprint arXiv:2403.12510, 2024 | | 2024 |
| Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness B Kim, J Seo AISTATS 2022, 2022 | | 2022 |
Junghoon SeoSI Analytics & KAISTVerified email at si-analytics.ai
