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ORCIDJi Won Park
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2020 – today
- 2024
[j3]Young Gyun Kim
, Jong Hyeon Lee, Jae Woo Shim, Wounsuk Rhee, Byeong Soo Kim, Dan Yoon, Min Jung Kim, Ji Won Park, Chang Wook Jeong, Han-Kwang Yang, Minwoo Cho, Sungwan Kim:
A multimodal virtual vision platform as a next-generation vision system for a surgical robot. Medical Biol. Eng. Comput. 62(5): 1535-1548 (2024)- [j2]Nathan H. Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho:
Blind Biological Sequence Denoising with Self-Supervised Set Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c5]Saeed Saremi, Ji Won Park, Francis R. Bach:
Chain of Log-Concave Markov Chains. ICLR 2024 - [c4]Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho:
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. ICML 2024 - [i11]Natasa Tagasovska, Ji Won Park, Matthieu Kirchmeyer, Nathan C. Frey, Andrew Martin Watkins, Aya Abdelsalam Ismail, Arian Rokkum Jamasb, Edith Lee, Tyler Bryson, Stephen Ra, Kyunghyun Cho:
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design. CoRR abs/2407.21028 (2024) - 2023
- [c3]Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang:
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS 2023 - [i10]Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins:
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers. CoRR abs/2302.07754 (2023) - [i9]Saeed Saremi, Ji Won Park, Francis R. Bach:
Chain of Log-Concave Markov Chains. CoRR abs/2305.19473 (2023) - [i8]Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho:
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. CoRR abs/2306.00344 (2023) - [i7]Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho:
Blind Biological Sequence Denoising with Self-Supervised Set Learning. CoRR abs/2309.01670 (2023) - 2022
- [c2]Jacob S. Leiby, Jie Hao, Gyeong Hoon Kang, Ji Won Park, Dokyoon Kim:
Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images. EMBC 2022: 3068-3071 - [i6]Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho:
Multi-segment preserving sampling for deep manifold sampler. CoRR abs/2205.04259 (2022) - [i5]Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew M. Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho:
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design. CoRR abs/2210.04096 (2022) - [i4]Ji Won Park, Simon Birrer, Madison Ueland, Miles D. Cranmer, Adriano Agnello, Sebastian Wagner-Carena, Philip J. Marshall, Aaron Roodman:
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks. CoRR abs/2211.07807 (2022) - 2021
- [j1]Simon Birrer, Anowar J. Shajib, Daniel Gilman, Aymeric Galan, Jelle Aalbers, Martin Millon, Robert Morgan, Giulia Pagano, Ji Won Park, Luca Teodori, Nicolas Tessore, Madison Ueland, Lyne Van de Vyvere, Sebastian Wagner-Carena, Ewoud Wempe, Lilan Yang, Xuheng Ding, Thomas Schmidt, Dominique Sluse, Ming Zhang, Adam Amara:
lenstronomy II: A gravitational lensing software ecosystem. J. Open Source Softw. 6(62): 3283 (2021) - [i3]Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman:
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes. CoRR abs/2106.01450 (2021) - 2020
- [i2]Sebastian Wagner-Carena, Ji Won Park, Simon Birrer, Philip J. Marshall, Aaron Roodman, Risa H. Wechsler:
Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing. CoRR abs/2010.13787 (2020) - [i1]Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman:
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. CoRR abs/2012.00042 (2020)
2010 – 2019
- 2011
- [c1]Yoo Kyung Boo, Hyeon Sil Lee, Ji Won Park, Seung Woo Ham:
Identifying Organizational Culture for Patient Safety. FGIT-GDC 2011: 271-277
Coauthor Index
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