3 papers
cs.GR2025
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
Yi-Tang Chen, Haoyu Li, Neng Shi +3
With the growing computational power available for high-resolution ensemble simulations in scientific fields such as cosmology and oceanology, storage and computational demands pre…
stat.ML2025
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
Yuhan Duan, Xin Zhao, Neng Shi +1
Surrogate models, crucial for approximating complex simulation data across sciences, inherently carry uncertainties that range from simulation noise to model prediction errors. Wit…
cs.GR2022
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
Neng Shi, Jiayi Xu, Haoyu Li +3
We propose VDL-Surrogate, a view-dependent neural-network-latent-based surrogate model for parameter space exploration of ensemble simulations that allows high-resolution visualiza…