3 papers
cs.LG2026
Error Aware Distribution Prediction for Lightweight Implicit Neural Representations
Zhimin Li, Jake D. Balla, Joshua A. Levine
Implicit neural representations (INRs) offer compact encoding of volumes, but as lossy approximators, inevitably have prediction errors. We consider INRs that can simultaneously en…
cs.LG2025
Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates
Xiaohan Wang, Zhimin Li, Joshua A. Levine +1
Recently, neural surrogate models have emerged as a compelling alternative to traditional simulation workflows. This is accomplished by modeling the underlying function of scientif…
stat.ME2025
Differentially private scale testing via rank transformations and percentile modifications
Joshua Levine, Kelly Ramsay
We develop a class of differentially private two-sample scale tests, called the rank-transformed percentile-modified Siegel--Tukey tests, or RPST tests. These RPST tests are inspir…