| Learning Energy Decompositions for Partial Inference in GFlowNets H Jang, M Kim, S Ahn International Conference on Learning Representations, 2024 | 7 | 2024 |
| Diffusion Probabilistic Models for Structured Node Classification H Jang, S Park, S Mo, S Ahn Advances in Neural Information Processing Systems, 2023 | 4 | 2023 |
| Machine-learning algorithms using systemic inflammatory markers to predict the oncologic outcomes of colorectal cancer after surgery S Yang*, H Jang*, IK Park*, HS Lee, KY Lee, GE Oh, C Park, J Kang Annals of surgical oncology 30 (13), 8717-8726, 2023 | 2 | 2023 |
| Pessimistic Backward Policy for GFlowNets H Jang, Y Jang, M Kim, J Park, S Ahn arXiv preprint arXiv:2405.16012, 2024 | | 2024 |
| De novo drug design through gradient-based regularized search in information-theoretically controlled latent space H Jang, S Seo, S Park, BJ Kim, GW Choi, J Choi, C Park Journal of Computer-Aided Molecular Design 38 (1), 32, 2023 | | 2023 |
