2 citations · 3 across the 5 of their papers we have counts for
5 papers
Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation
Soheun Yi, Yizhou Lu, Chandler Squires +1
Reliable generalization in conditional latent variable models requires understanding both identifiability and extrapolation: how observed variation across attributes determines lat…
Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions
Soheun Yi, John Alison, Mikael Kuusela
In the search for new particles in high-energy physics, it is crucial to select the Signal Region (SR) in such a way that it is enriched with signal events if they are present. Whi…
Addressing Feature Imbalance in Sound Source Separation
Jaechang Kim, Jeongyeon Hwang, Soheun Yi +2
Neural networks often suffer from a feature preference problem, where they tend to overly rely on specific features to solve a task while disregarding other features, even if those…
Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs II: Convex Optimization Problems
Soheun Yi, Ernest K. Ryu
The prior work of [SIAM J. Optim., 2025] used scaled relative graphs (SRG) to analyze the convergence of Davis--Yin splitting (DYS) iterations on monotone inclusion problems. In th…
Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs
Jongmin Lee, Soheun Yi, Ernest K. Ryu
Davis-Yin splitting (DYS) has found a wide range of applications in optimization, but its linear rates of convergence have not been studied extensively. The scaled relative graph (…