Jae Hyeon Lee

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Molecular Dynamics

Learning Community

Sequential Monte Carlo

Top Venues

Trans. Mach. Learn. Res.

Publications

Nathan H. Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
Blind Biological Sequence Denoising with Self-Supervised Set Learning. Trans. Mach. Learn. Res. 2024 (2024)
Saleh Riahi, Jae Hyeon Lee, Taylor Sorenson, Shuai Wei, Sven Jager, Reza Olfati-Saber, Yanfeng Zhou, Anna Park, Maria Wendt, Hervé Minoux, Yu Qiu
Surface ID: a geometry-aware system for protein molecular surface comparison. Bioinform. 39 (4) (2023)
Michael Maser, Natasa Tagasovska, Jae Hyeon Lee, Andrew M. Watkins
MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty. CoRR (2023)
Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
Blind Biological Sequence Denoising with Self-Supervised Set Learning. CoRR (2023)
Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers. CoRR (2023)
Jae Hyeon Lee, Chang-Hwan Son
Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning. CoRR (2023)
Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho
Multi-segment preserving sampling for deep manifold sampler. CoRR (2022)