Rodrigo Hormazabal

According to our database, Rodrigo Hormazabal authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction.

Hanbum Ko, Chanhui Lee, Ye Rin Kim, Rodrigo Hormazabal, Sehui Han, Sungbin Lim, Sungwoong Kim

CoRR, March, 2026

MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models.

Hojung Jung, Rodrigo Hormazabal, Jaehyeong Jo, Youngrok Park, Kyunggeun Roh, Se-Young Yun, Sehui Han, Dae-Woong Jeong

CoRR, February, 2026

2025

Towards a Generalizable AI for Materials Discovery: Validation through Immersion Coolant Screening.

Hyunseung Kim, Dae-Woong Jeong, Changyoung Park, Won-Ji Lee, Ha-Eun Lee, Ji-Hye Lee, Rodrigo Hormazabal, Sung Moon Ko, Sumin Lee, Soorin Yim, Chanhui Lee, Sehui Han, Sang-Ho Cha, Woohyung Lim

CoRR, October, 2025

Mol-LLM: Generalist Molecular LLM with Improved Graph Utilization.

Chanhui Lee, Yuheon Song, Yongjun Jeong, Hanbum Ko, Rodrigo Hormazabal, Sehui Han, Kyunghoon Bae, Sungbin Lim, Sungwoong Kim

CoRR, February, 2025

2022

Not from Scratch: Predicting Thermophysical Properties through Model-Based Transfer Learning Using Graph Convolutional Networks.

Rodrigo S. Hormazabal, Jeong Won Kang, Kiho Park, Dae Ryook Yang

J. Chem. Inf. Model., 2022

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.

Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022