Urban, Nathan

6 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

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

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

NeurIPS 2023 ClimSim: A Large Multi-Scale Dataset for Hybrid Physics-ML Climate Emulation Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce Harrop, Benjamin Hillman, Andrea Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Mike Pritchard

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