Alert button
Picture for Jae Hyeon Lee

Jae Hyeon Lee

Alert button

Blind Biological Sequence Denoising with Self-Supervised Set Learning

Sep 04, 2023
Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho

Figure 1 for Blind Biological Sequence Denoising with Self-Supervised Set Learning
Figure 2 for Blind Biological Sequence Denoising with Self-Supervised Set Learning
Figure 3 for Blind Biological Sequence Denoising with Self-Supervised Set Learning
Figure 4 for Blind Biological Sequence Denoising with Self-Supervised Set Learning
Viaarxiv icon

MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty

Jun 20, 2023
Michael Maser, Natasa Tagasovska, Jae Hyeon Lee, Andrew Watkins

Figure 1 for MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty
Figure 2 for MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty
Figure 3 for MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty
Figure 4 for MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty
Viaarxiv icon

SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers

Feb 15, 2023
Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew Watkins

Figure 1 for SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Figure 2 for SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Figure 3 for SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Figure 4 for SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Viaarxiv icon

Multi-segment preserving sampling for deep manifold sampler

May 09, 2022
Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew Watkins, Vladimir Gligorijević, Richard Bonneau, Stephen Ra, Kyunghyun Cho

Figure 1 for Multi-segment preserving sampling for deep manifold sampler
Figure 2 for Multi-segment preserving sampling for deep manifold sampler
Figure 3 for Multi-segment preserving sampling for deep manifold sampler
Figure 4 for Multi-segment preserving sampling for deep manifold sampler
Viaarxiv icon