Ji Won Park

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 17

Top Topics

Metropolis Hastings

Multiple Instance

Gaussian Process

Top Venues

Medical Biol. Eng. Comput.

Publications

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)
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 (2024)
Saeed Saremi, Ji Won Park, Francis R. Bach
Chain of Log-Concave Markov Chains. ICLR (2024)
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) (2024)
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)
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 (2023)
Saeed Saremi, Ji Won Park, Francis R. Bach
Chain of Log-Concave Markov Chains. CoRR (2023)
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 (2023)
Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. CoRR (2023)
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 (2022)
Ji Won Park, Simon Birrer, Madison Ueland, Miles 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 (2022)
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 (2022)
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)
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 (2021)
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) (2021)
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 (2020)
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 (2020)
Yoo Kyung Boo, Hyeon Sil Lee, Ji Won Park, Seung Woo Ham
Identifying Organizational Culture for Patient Safety. FGIT-GDC (2011)