Yoon, Byung-Jun

16 publications

NeurIPS 2025 A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian

NeurIPS 2025 C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang, Yucheng Wang, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian

ICLR 2025 Pareto Prompt Optimization Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian

CVPRW 2025 Scale-Invariant Implicit Neural Representations for Object Counting Siyuan Xu, Yucheng Wang, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian

ICLRW 2024 Biologically Interpretable VAE with Supervision for Transcriptomics Data Under Ordinal Perturbations Seyednami Niyakan, Xihaier Luo, Byung-Jun Yoon, Xiaoning Qian

NeurIPSW 2024 Cost-Effective Reduced-Order Modeling via Bayesian Active Learning Amir Hossein Rahmati, Nathan Urban, Byung-Jun Yoon, Xiaoning Qian

NeurIPSW 2024 Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling Xihaier Luo, Samuel Lurvey, Yi Huang, Yihui Ren, Jin Huang, Byung-Jun Yoon

ICML 2024 Hierarchical Neural Operator Transformer with Learnable Frequency-Aware Loss Prior for Arbitrary-Scale Super-Resolution Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

UAI 2024 Multi-Fidelity Bayesian Optimization with Multiple Information Sources of Input-Dependent Fidelity Mingzhou Fan, Byung-Jun Yoon, Edward Dougherty, Nathan Urban, Francis Alexander, Raymundo Arróyave, Xiaoning Qian

NeurIPSW 2024 Neural Machine Translation of Clinical Procedure Codes for Medical Diagnosis and Uncertainty Quantification Pei-Hung Chung, Shuhan He, Norawit Kijpaisalratana, Abdel Badih el Ariss, Byung-Jun Yoon

AISTATS 2024 Uncertainty-Aware Continuous Implicit Neural Representations for Remote Sensing Object Counting Siyuan Xu, Yucheng Wang, Mingzhou Fan, Byung-Jun Yoon, Xiaoning Qian

ICMLW 2023 Reinstating Continuous Climate Patterns from Small and Discretized Data Xihaier Luo, Xiaoning Qian, Nathan Urban, Byung-Jun Yoon

AISTATS 2021 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian

NeurIPS 2021 Efficient Active Learning for Gaussian Process Classification by Error Reduction Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian

AAAI 2021 Physics-Constrained Automatic Feature Engineering for Predictive Modeling in Materials Science Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arróyave, Xiaoning Qian

ICLR 2021 Uncertainty-Aware Active Learning for Optimal Bayesian Classifier Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian