Seokun Choi

collaborators

3 papers

math-ph2026

Exponentially slow Mixing arising from Entropic Repulsion in $p$ -SOS model

Seokun Choi

We investigate the Glauber dynamics of the generalized (2+1)-dimensional $p$ -SOS model, $1 < p < \infty$ , under a hard floor constraint. This constraint induces entropic repulsion: the…

cs.LG2026

Sparsely-Supervised Data Assimilation via Physics-Informed SchrÃ¶dinger Bridge

Dohyun Bu, Chanho Kim, Seokun Choi +1

Data assimilation (DA) for systems governed by partial differential equations (PDE) aims to reconstruct full spatiotemporal fields from sparse high-fidelity (HF) observations while…

stat.ML2025

How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning

Arthur Jacot, Seok Hoan Choi, Yuxiao Wen

We show that deep neural networks (DNNs) can efficiently learn any composition of functions with bounded $F_{1}$ -norm, which allows DNNs to break the curse of dimensionality in way…

Exponentially slow Mixing arising from Entropic Repulsion in p-SOS model

Sparsely-Supervised Data Assimilation via Physics-Informed SchrÃ¶dinger Bridge

How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning

Exponentially slow Mixing arising from Entropic Repulsion in $p$ -SOS model