Zobrazeno 1 - 10
of 2 106
pro vyhledávání: '"Park, Ji‐Won"'
Autor:
Tagasovska, Nataša, Park, Ji Won, Kirchmeyer, Matthieu, Frey, Nathan C., Watkins, Andrew Martin, Ismail, Aya Abdelsalam, Jamasb, Arian Rokkum, Lee, Edith, Bryson, Tyler, Ra, Stephen, Cho, Kyunghyun
Machine learning (ML) has demonstrated significant promise in accelerating drug design. Active ML-guided optimization of therapeutic molecules typically relies on a surrogate model predicting the target property of interest. The model predictions are
Externí odkaz:
http://arxiv.org/abs/2407.21028
In anti-cancer drug development, a major scientific challenge is disentangling the complex relationships between high-dimensional genomics data from patient tumor samples, the corresponding tumor's organ of origin, the drug targets associated with gi
Externí odkaz:
http://arxiv.org/abs/2310.00926
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 repeatedly using a high-throughput long-read platform to generate multiple sub
Externí odkaz:
http://arxiv.org/abs/2309.01670
Many scientific and industrial applications require the joint optimization of multiple, potentially competing objectives. Multi-objective Bayesian optimization (MOBO) is a sample-efficient framework for identifying Pareto-optimal solutions. At the he
Externí odkaz:
http://arxiv.org/abs/2306.00344
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 prove one can decompose sampling from a density (minimal assumptions
Externí odkaz:
http://arxiv.org/abs/2305.19473
Autor:
Fagin, Joshua, Park, Ji Won, Best, Henry, Chan, James Hung-Hsu, Ford, K. E Saavik, Graham, Matthew J., Villar, V. Ashley, Ho, Shirley, O'Dowd, Matthew
Publikováno v:
The Astrophysical Journal, Volume 965, Number 2, April 2024
Quasars are bright and unobscured active galactic nuclei (AGN) thought to be powered by the accretion of matter around supermassive black holes at the centers of galaxies. The temporal variability of a quasar's brightness contains valuable informatio
Externí odkaz:
http://arxiv.org/abs/2304.04277
Autor:
Maser, Michael, Park, Ji Won, Lin, Joshua Yao-Yu, Lee, Jae Hyeon, Frey, Nathan C., Watkins, Andrew
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 aids in supervised training of Euclidean neural networks (E3NNs) and inc
Externí odkaz:
http://arxiv.org/abs/2302.07754
Autor:
Park, Ji Won, Birrer, Simon, Ueland, Madison, Cranmer, Miles, Agnello, Adriano, Wagner-Carena, Sebastian, Marshall, Philip J., Roodman, Aaron, Collaboration, the LSST Dark Energy Science
We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($\kappa$) from photometric measurements of galaxies along a given line of sight. The method is of particular interest in strong gravitational time delay
Externí odkaz:
http://arxiv.org/abs/2211.07807
Autor:
Park, Ji Won, Stanton, Samuel, Saremi, Saeed, Watkins, Andrew, Dwyer, Henri, Gligorijevic, Vladimir, Bonneau, Richard, Ra, Stephen, Cho, Kyunghyun
Bayesian optimization offers a sample-efficient framework for navigating the exploration-exploitation trade-off in the vast design space of biological sequences. Whereas it is possible to optimize the various properties of interest jointly using a mu
Externí odkaz:
http://arxiv.org/abs/2210.04096
Publikováno v:
Asian Pacific Journal of Tropical Biomedicine, Vol 14, Iss 4, Pp 137-146 (2024)
Objective: To evaluate the effect of the ethyl acetate fraction derived from Sargassum pallidum extract against particulate matter (PM)-induced oxidative stress and inflammation in HaCaT cells and zebrafish. Methods: HaCaT cells and zebrafish were us
Externí odkaz:
https://doaj.org/article/b25dbc6d33944971a6dd65fe4fac2e5f
