34 citations · 47 across the 11 of their papers we have counts for
5 papers · 1 filter
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction
Omid Bazgir, Zichen Wang, Ji Won Park +2
In anti-cancer drug development, a major scientific challenge is disentangling the complex relationships between high-dimensional genomics data from patient tumor samples, the corr…
Blind Biological Sequence Denoising with Self-Supervised Set Learning
Nathan Ng, Ji Won Park, Jae Hyeon Lee +3
Biological sequence analysis relies on the ability to denoise the imprecise output of sequencing platforms. We consider a common setting where a short sequence is read out repeated…
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
Ji Won Park, Nataša Tagasovska, Michael Maser +2
Many scientific and industrial applications require the joint optimization of multiple, potentially competing objectives. Multi-objective Bayesian optimization (MOBO) is a sample-e…
Chain of Log-Concave Markov Chains
Saeed Saremi, Ji Won Park, Francis Bach
We introduce a theoretical framework for sampling from unnormalized densities based on a smoothing scheme that uses an isotropic Gaussian kernel with a single fixed noise scale. We…
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Michael Maser, Ji Won Park, Joshua Yao-Yu Lin +3
We investigate Siamese networks for learning related embeddings for augmented samples of molecular conformers. We find that a non-contrastive (positive-pair only) auxiliary task ai…