Publications

* for equal contributions.

Conferences

• Soheun Yi, Yizhou Lu, Chandler Squires, and Pradeep Ravikumar. “Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation”. Conference on Neural Information Processing Systems (NeurIPS), 2026. arXiv

• Soheun Yi and Sanghack Lee, “Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models”. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. paper

Journals

• Soheun Yi and Ernest K. Ryu. “Convergence Analyses of Davis–Yin Splitting via Scaled Relative Graphs II: Convex Optimization Problems”. Optimization. arXiv

• Jongmin Lee*, Soheun Yi*, and Ernest K. Ryu. “Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs”. SIAM Journal on Optimization (SIOPT). arXiv

Preprints

• Soheun Yi, John Alison, and Mikael Kuusela. “Model-Agnostic Search for New Physics in the Presence of Imperfect Background by Smearing the Data”. Preprint, 2026. arXiv

• Soheun Yi, John Alison, and Mikael Kuusela. “Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions”. ML4PS Workshop at NeurIPS 2024. arXiv