Nathan Urban

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 6

Top Topics

Gaussian Processes

Bayesian Inference

Hyperparameters

Top Venues

IEEE VIS (Short Papers)

Publications

A. N. M. Nafiz Abeer, Nathan Urban, M. Ryan Weil, Francis J. Alexander, Byung-Jun Yoon
Multi-Objective Latent Space Optimization of Generative Molecular Design Models. CoRR (2022)
Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan Urban
In Situ Climate Modeling for Analyzing Extreme Weather Events. ISAV@SC (2021)
Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan Urban
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. ISAV@SC (2021)
Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. IEEE BigData (2021)
Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan Urban
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) (2020)
Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan Urban
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR (2020)