Sung Moon Ko

According to our database, Sung Moon Ko authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

Scalable Multi-Task Transfer Learning for Molecular Property Prediction.

Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim

CoRR, 2024

Task Addition in Multi-Task Learning by Geometrical Alignment.

Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han

CoRR, 2024

Multitask Extension of Geometrically Aligned Transfer Encoder.

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han

CoRR, 2024

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks.

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.

Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee

CoRR, 2023

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.

Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023