Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models
Chengjie Hong, Feixiang He, Yiheng Zeng +2
We propose a new method for compressing physics foundation models (PFMs) which is a new trend in AI for Science. While model compression is essential for reducing memory use and ac…
cs.LG2025
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input
Lulu Kang, Minshen Xu
Gaussian process (GP) regression is a popular surrogate modeling tool for computer simulations in engineering and scientific domains. However, it often struggles with high computat…
cs.LG2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
Parian Haghighat, Denisa G'andara, Lulu Kang +1
Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and ina…