Hyosoon Jang

According to our database, Hyosoon Jang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Boltz is a Strong Baseline for Atom-level Representation Learning.

Hyosoon Jang, Hyunjin Seo, Yunhui Jang, Seonghyun Park, Sungsoo Ahn

CoRR, February, 2026

2025

Self-Training Large Language Models with Confident Reasoning.

Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

De novo drug design through gradient-based regularized search in information-theoretically controlled latent space.

Hyosoon Jang, Sangmin Seo, Sanghyun Park, Byung Ju Kim, Geon-Woo Choi, Jonghwan Choi, Chihyun Park

J. Comput. Aided Mol. Des., December, 2024

Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity.

Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

CoRR, 2024

Pessimistic Backward Policy for GFlowNets.

Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Energy Decompositions for Partial Inference in GFlowNets.

Hyosoon Jang, Minsu Kim, Sungsoo Ahn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Diffusion Probabilistic Models for Graph-Structured Prediction.

Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn

CoRR, 2023

Diffusion Probabilistic Models for Structured Node Classification.

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

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