4 papers
Reinforcement Learning for Microcanonical Graph Ensemble with Assortativity Constraints
Hoyun Choi, Junghyo Jo, Deok-Sun Lee
How network structure determines function is a fundamental question, and it can be investigated by graph ensembles with precisely controlled structural properties. Canonical approa…
Variational Garrote for Sparse Inverse Problems
Kanghun Lee, Hyungjoon Soh, Junghyo Jo
Sparse regularization plays a central role in solving inverse problems arising from incomplete or corrupted measurements. Different regularizers correspond to different prior assum…
Stochastic Clock Attention for Aligning Continuous and Ordered Sequences
Hyungjoon Soh, Junghyo Jo
We formulate an attention mechanism for continuous and ordered sequences that explicitly functions as an alignment model, which serves as the core of many sequence-to-sequence task…
Data augmentation using diffusion models to enhance inverse Ising inference
Yechan Lim, Sangwon Lee, Junghyo Jo
Identifying model parameters from observed configurations poses a fundamental challenge in data science, especially with limited data. Recently, diffusion models have emerged as a…