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pro vyhledávání: '"Park, Ji won"'
Many risk-sensitive applications require well-calibrated prediction sets over multiple, potentially correlated target variables, for which the prediction algorithm may report correlated non-conformity scores. In this work, we treat the scores as rand
Externí odkaz:
http://arxiv.org/abs/2411.02114
Autor:
Fagin, Joshua, Chan, James Hung-Hsu, Best, Henry, O'Dowd, Matthew, Ford, K. E. Saavik, Graham, Matthew J., Park, Ji Won, Villar, V. Ashley
Quasars are bright active galactic nuclei powered by the accretion of matter around supermassive black holes at the center of galaxies. Their stochastic brightness variability depends on the physical properties of the accretion disk and black hole. T
Externí odkaz:
http://arxiv.org/abs/2410.18423
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
Autor:
Qian Gong
Publikováno v:
The Journal of Chinese Studies. 100:285-307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d3251026e47b9b27bcf29e60790082
https://doi.org/10.36493/jcs.100.9
https://doi.org/10.36493/jcs.100.9
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:
Wenbo Li
Publikováno v:
Chunwon Research journal. 20:113-145
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de508ee3977d2c0f50d88d55451e54cf
https://doi.org/10.31809/crj.2021.4.20.113
https://doi.org/10.31809/crj.2021.4.20.113
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