Park, Ji Won

13 publications

NeurIPS 2025 Efficient Semantic Uncertainty Quantification in Language Models via Diversity-Steered Sampling Ji Won Park, Kyunghyun Cho

ICML 2025 Reliable Algorithm Selection for Machine Learning-Guided Design Clara Fannjiang, Ji Won Park

AISTATS 2025 Semiparametric Conformal Prediction Ji Won Park, Kyunghyun Cho

ICLRW 2025 Supervised Contrastive Block Disentanglement Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Heming Yao, Jan-Christian Huetter, Ana Carolina Leote, Burkhard Hoeckendorf, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, Romain Lopez

ICML 2024 BOtied: Multi-Objective Bayesian Optimization with Tied Multivariate Ranks Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho

TMLR 2024 Blind Biological Sequence Denoising with Self-Supervised Set Learning Nathan Hoyen Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho

ICLR 2024 Chain of Log-Concave Markov Chains Saeed Saremi, Ji Won Park, Francis Bach

ICLRW 2024 Integration of Graph Neural Network and Neural-Odes for Tumor Dynamics Prediction Omid Bazgir, Zichen Wang, Ji Won Park, Marc Hafner, James Lu

NeurIPS 2023 GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian 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 Lee, Bingqing Cheng, Alan Aspuru-Guzik, Philippe Schwaller, Jian Tang

ICLRW 2023 Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties Joshua Fagin, Ji Won Park, Henry Best, Matthew O'Dowd

ICLRW 2023 SupSiam: Non-Contrastive Auxiliary Loss for Learning from Molecular Conformers Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew Martin Watkins

ICLRW 2022 Multi-Segment Preserving Sampling for Deep Manifold Sampler Dan Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew Watkins, Richard Bonneau, Vladimir Gligorijevic, Stephen Ra, Kyunghyun Cho

NeurIPSW 2022 PropertyDAG: Multi-Objective Bayesian Optimization of Partially Ordered, Mixed-Variable Properties for Biological Sequence Design Ji Won Park, Samuel Don Stanton, Saeed Saremi, Andrew Martin Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho