Ji Won Park
Ji Won Park
Machine Learning Scientist at Prescient Design, Genentech/Roche
Verified email at - Homepage
Cited by
Cited by
TDCOSMO-IV. Hierarchical time-delay cosmography–joint inference of the Hubble constant and galaxy density profiles
S Birrer, AJ Shajib, A Galan, M Millon, T Treu, A Agnello, M Auger, ...
Astronomy & Astrophysics 643, A165, 2020
lenstronomy II: A gravitational lensing software ecosystem
S Birrer, AJ Shajib, D Gilman, A Galan, J Aalbers, M Millon, R Morgan, ...
arXiv preprint arXiv:2106.05976, 2021
Hierarchical inference with bayesian neural networks: An application to strong gravitational lensing
S Wagner-Carena, JW Park, S Birrer, PJ Marshall, A Roodman, ...
The Astrophysical Journal 909 (2), 187, 2021
The lsst desc dc2 simulated sky survey
B Abolfathi, D Alonso, R Armstrong, É Aubourg, H Awan, YN Babuji, ...
The Astrophysical Journal Supplement Series 253 (1), 31, 2021
Time delay lens modelling challenge
X Ding, T Treu, S Birrer, GCF Chen, J Coles, P Denzel, M Frigo, A Galan, ...
Monthly Notices of the Royal Astronomical Society 503 (1), 1096-1123, 2021
Large-scale gravitational lens modeling with bayesian neural networks for accurate and precise inference of the Hubble constant
JW Park, S Wagner-Carena, S Birrer, PJ Marshall, JYY Lin, A Roodman, ...
The Astrophysical Journal 910 (1), 39, 2021
Gauche: A library for Gaussian processes in chemistry
RR Griffiths, L Klarner, H Moss, A Ravuri, S Truong, Y Du, S Stanton, ...
Advances in Neural Information Processing Systems 36, 2024
DeepZipper: a novel deep-learning architecture for lensed supernovae identification
R Morgan, B Nord, K Bechtol, SJ González, E Buckley-Geer, A Möller, ...
The Astrophysical Journal 927 (1), 109, 2022
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design
JW Park, S Stanton, S Saremi, A Watkins, H Dwyer, V Gligorijevic, ...
arXiv preprint arXiv:2210.04096, 2022
LSST Dark Energy Science Collaboration 2021
S Wagner-Carena, JW Park, S Birrer, PJ Marshall, A Roodman, ...
ApJ 909, 187, 0
LSST Dark Energy Science Collaboration 2021
JW Park, S Wagner-Carena, S Birrer, PJ Marshall, JYY Lin, A Roodman
ApJ 910, 39, 0
Latent stochastic differential equations for modeling quasar variability and inferring black hole properties
J Fagin, JW Park, H Best, JHH Chan, KES Ford, MJ Graham, VA Villar, ...
The Astrophysical Journal 965 (2), 104, 2024
Multi-segment preserving sampling for deep manifold sampler
D Berenberg, JH Lee, S Kelow, JW Park, A Watkins, V Gligorijević, ...
arXiv preprint arXiv:2205.04259, 2022
Supsiam: Non-contrastive auxiliary loss for learning from molecular conformers
M Maser, JW Park, JYY Lin, JH Lee, NC Frey, A Watkins
arXiv preprint arXiv:2302.07754, 2023
Inferring black hole properties from astronomical multivariate time series with Bayesian attentive neural processes
JW Park, A Villar, Y Li, YF Jiang, S Ho, JYY Lin, PJ Marshall, A Roodman
arXiv preprint arXiv:2106.01450, 2021
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
JW Park, S Birrer, M Ueland, M Cranmer, A Agnello, S Wagner-Carena, ...
The Astrophysical Journal 953 (2), 178, 2023
Chain of log-concave Markov chains
S Saremi, JW Park, F Bach
arXiv preprint arXiv:2305.19473, 2023
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
JW Park, N Tagasovska, M Maser, S Ra, K Cho
arXiv preprint arXiv:2306.00344, 2023
DESC DC2 Data Release Note
B Abolfathi, R Armstrong, H Awan, YN Babuji, FE Bauer, G Beckett, ...
arXiv preprint arXiv:2101.04855, 2021
MolSiam: Simple Siamese Self-supervised Representation Learning for Small Molecules
JYY Lin, P Design, M Maser, N Frey, G Scalia, G gRED, O Mahmood, ...
NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023
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