3 papers
cs.LG2025
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
Alvin Heng, Harold Soh
Selective classification enhances the reliability of predictive models by allowing them to abstain from making uncertain predictions. In this work, we revisit the design of optimal…
cs.LG2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng, Alexandre H. Thiery, Harold Soh
Out-of-distribution (OOD) detection is a critical task in machine learning that seeks to identify abnormal samples. Traditionally, unsupervised methods utilize a deep generative mo…
cond-mat.str-el2019
Pair hopping in systems of strongly interacting hard-core bosons
Alvin J. R. Heng, Wenan Guo, Anders W. Sandvik +1
We have used the Stochastic Series Expansion quantum Monte Carlo method to study interacting hard-core bosons on the square lattice, with pair-hopping processes supplementing the s…