Ji Won Park - RankMe

28 papers A* 4A 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Policy Control. CoRR Drew Prinster, Clara Fannjiang, Ji Won Park, Kyunghyun Cho, Anqi Liu, Suchi Saria, Samuel Stanton
2025	J	`jnl`	Analysis of kinetic Langevin Monte Carlo under the stochastic exponential Euler discretization from underdamped all the way to overdamped. CoRR Kyurae Kim, Samuel Gruffaz, Ji Won Park, Alain Oliviero Durmus
2025	J	`jnl`	Automated endoscopic image quality assessment for robust colorectal lesion detection. BMC Medical Imaging Byeong Soo Kim, Hyun Jung Lee, Jesung Park, Seung-Yong Jeong, Min Jung Kim, Jong-Sung Ahn, Ji Won Park, Sungwan Kim
2025	J	`jnl`	Efficient semantic uncertainty quantification in language models via diversity-steered sampling. CoRR Ji Won Park, Kyunghyun Cho
2025	A*	`conf`	Reliable Algorithm Selection for Machine Learning-Guided Design. ICML Clara Fannjiang, Ji Won Park
2025	J	`jnl`	Reliable algorithm selection for machine learning-guided design. CoRR Clara Fannjiang, Ji Won Park
2025	A	`conf`	Semiparametric conformal prediction. AISTATS Ji Won Park, Kyunghyun Cho
2025	J	`jnl`	Supervised Contrastive Block Disentanglement. CoRR Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Jan-Christian Huetter, Heming Yao, Burkhard Hoeckendorf, Ana Carolina Leote, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, Romain Lopez
2024	J	`jnl`	A multimodal virtual vision platform as a next-generation vision system for a surgical robot. Medical Biol. Eng. Comput. 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
2024	J	`jnl`	Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design. CoRR 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
2024	A*	`conf`	BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. ICML Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho
2024	J	`jnl`	Blind Biological Sequence Denoising with Self-Supervised Set Learning. Trans. Mach. Learn. Res. Nathan H. Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
2024	A*	`conf`	Chain of Log-Concave Markov Chains. ICLR Saeed Saremi, Ji Won Park, Francis R. Bach
2024	J	`jnl`	Semiparametric conformal prediction. CoRR Ji Won Park, Robert Tibshirani, Kyunghyun Cho
2023	J	`jnl`	BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. CoRR Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho
2023	J	`jnl`	Blind Biological Sequence Denoising with Self-Supervised Set Learning. CoRR Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
2023	J	`jnl`	Chain of Log-Concave Markov Chains. CoRR Saeed Saremi, Ji Won Park, Francis R. Bach
2023	A*	`conf`	GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS 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
2023	J	`jnl`	SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers. CoRR Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins
2022	—	`conf`	Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images. EMBC Jacob S. Leiby, Jie Hao, Gyeong Hoon Kang, Ji Won Park, Dokyoon Kim
2022	J	`jnl`	Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks. CoRR Ji Won Park, Simon Birrer, Madison Ueland, Miles D. Cranmer, Adriano Agnello, Sebastian Wagner-Carena, Philip J. Marshall, Aaron Roodman
2022	J	`jnl`	Multi-segment preserving sampling for deep manifold sampler. CoRR Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho
2022	J	`jnl`	PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design. CoRR Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew M. Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho
2021	J	`jnl`	Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes. CoRR Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman
2021	J	`jnl`	lenstronomy II: A gravitational lensing software ecosystem. J. Open Source Softw. 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
2020	J	`jnl`	Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing. CoRR Sebastian Wagner-Carena, Ji Won Park, Simon Birrer, Philip J. Marshall, Aaron Roodman, Risa H. Wechsler
2020	J	`jnl`	Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. CoRR Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman
2011	—	`conf`	Identifying Organizational Culture for Patient Safety. FGIT-GDC Yoo Kyung Boo, Hyeon Sil Lee, Ji Won Park, Seung Woo Ham