6 citations · 10 across the 4 of their papers we have counts for
4 papers
Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data
Haoyu Li, Isaac J Michaud, Ayan Biswas +1
Almost all scientific data have uncertainties originating from different sources. Gaussian process regression (GPR) models are a natural way to model data with Gaussian-distributed…
Graphics4Science: Computer Graphics for Scientific Impacts
Peter Yichen Chen, Minghao Guo, Hanspeter Pfister +5
Computer graphics, often associated with films, games, and visual effects, has long been a powerful tool for addressing scientific challenges--from its origins in 3D visualization…
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…
Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation
Haoyu Li, Han-Wei Shen
Implicit Neural representations (INRs) are widely used for scientific data reduction and visualization by modeling the function that maps a spatial location to a data value. Withou…