A comparison of Latin hypercube and grid ensemble designs for the multivariate emulation of an Earth system model. - Nathan M. Urban; Thomas E. Fricker (Comput. Geosci., 2010)

Multivariate Gaussian Process Emulators With Nonseparable Covariance Structures. - Thomas E. Fricker; Jeremy E. Oakley; Nathan M. Urban (Technometrics, 2013)

Scalable Extended Dynamic Mode Decomposition Using Random Kernel Approximation. - Anthony M. DeGennaro; Nathan M. Urban (SIAM J. Sci. Comput., 2019)

Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. - Subhashis Hazarika; Ayan Biswas; Phillip J. Wolfram; Earl Lawrence; Nathan M. Urban (IEEE VIS (Short Papers), 2020)

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. - Divya Banesh; Nishant Panda; Ayan Biswas; Luke Van Roekel; Diane Oyen; Nathan M. Urban; Michael Grosskopf; Jonathan David Wolfe; Earl Lawrence (IEEE BigData, 2021)

In Situ Climate Modeling for Analyzing Extreme Weather Events. - Soumya Dutta; Natalie Klein; Li Tang 007; Jonathan David Wolfe; Luke Van Roekel; James Joseph Benedict; Ayan Biswas; Earl Lawrence; Nathan M. Urban (ISAV@SC, 2021)

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. - Michael Grosskopf; Earl Lawrence; Ayan Biswas; Li Tang 007; Kelin Rumsey; Luke Van Roekel; Nathan M. Urban (ISAV@SC, 2021)

Differentiable programming for online training of a neural artificial viscosity function within a staggered grid Lagrangian hydrodynamics scheme. - Pake Melland; Jason Albright; Nathan M. Urban (Mach. Learn. Sci. Technol., 2021)

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - Sungduk Yu; Walter M. Hannah; Liran Peng; Jerry Lin; Mohamed Aziz Bhouri; Ritwik Gupta; Björn Lütjens; Justus C. Will; Gunnar Behrens; Julius Busecke; Nora Loose; Charles Stern; et al. (NeurIPS, 2023)

Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. - Sanket R. Jantre; Nathan M. Urban; Xiaoning Qian; Byung-Jun Yoon (ICASSP, 2024)

When Uncertainty-Based Active Learning May Fail? - Amir Hossein Rahmati; Mingzhou Fan; Ruida Zhou; Nathan M. Urban; Byung-Jun Yoon; Xiaoning Qian (ICPR (1), 2024)

Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. - A. N. M. Nafiz Abeer; Sanket R. Jantre; Nathan M. Urban; Byung-Jun Yoon (MLSP, 2024)

Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. - Alif Bin Abdul Qayyum; Xihaier Luo; Nathan M. Urban; Xiaoning Qian; Byung-Jun Yoon (MLSP, 2024)

Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity. - Mingzhou Fan; Byung-Jun Yoon; Edward R. Dougherty; Nathan M. Urban; Francis J. Alexander; Raymundo Arróyave; Xiaoning Qian (UAI, 2024)

Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data. - Alif Bin Abdul Qayyum; Xihaier Luo; Nathan M. Urban; Xiaoning Qian; Byung-Jun Yoon (CoRR, 2024)

Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders. - A. N. M. Nafiz Abeer; Sanket R. Jantre; Nathan M. Urban; Byung-Jun Yoon (CoRR, 2024)

Understanding Uncertainty-based Active Learning Under Model Mismatch. - Amir Hossein Rahmati; Mingzhou Fan; Ruida Zhou; Nathan M. Urban; Byung-Jun Yoon; Xiaoning Qian (CoRR, 2024)

Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy. - Alif Bin Abdul Qayyum; Susan D. Mertins; Amanda K. Paulson; Nathan M. Urban; Byung-Jun Yoon (CoRR, 2024)

Multi-objective latent space optimization of generative molecular design models. - A. N. M. Nafiz Abeer; Nathan M. Urban; M. Ryan Weil; Francis J. Alexander; Byung-Jun Yoon (Patterns, 2024)

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis. - Sanket R. Jantre; Tianle Wang 001; Gilchan Park; Kriti Chopra; Nicholas Jeon; Xiaoning Qian; Nathan M. Urban; Byung-Jun Yoon (CoRR, 2025)

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

Cost-effective Reduced-Order Modeling via Bayesian Active Learning. - Amir Hossein Rahmati; Nathan M. Urban; Byung-Jun Yoon; Xiaoning Qian (CoRR, 2025)