2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2026
A Semi-Supervised Kernel Two-Sample Test
Gyumin Lee, Shubhanshu Shekhar, Ilmun Kim
We consider the problem of two-sample testing in a semi-supervised setting with abundant unlabeled covariate data. Standard two-sample tests neglect covariate information, which ha…
cs.LG2024
Repurformer: Transformers for Repurposing-Aware Molecule Generation
Changhun Lee, Gyumin Lee
Generating as diverse molecules as possible with desired properties is crucial for drug discovery research, which invokes many approaches based on deep generative models today. Des…
cs.LG2022★ 2 cited
Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Jaehoon Lee, Chan Kim, Gyumin Lee +6
Forecasting future outcomes from recent time series data is not easy, especially when the future data are different from the past (i.e. time series are under temporal drifts). Exis…