3 citations · 3 across the 6 of their papers we have counts for
8 papers
Persistence Positional Encoding: A Minimal Transformer Recipe for Persistence Diagrams
Eunwoo Heo, Ganghyun Kim, Jaejun Yoo
Persistence diagrams (PDs) represent multiscale topological information as multisets of birth-death pairs . How best to use them with Transformers, however, remains unclear.…
Near-diagonal asymptotics and the failure of strong universality in random Čech persistence
Eunwoo Heo
The strong universality conjecture of Bobrowski and Skraba asserts that, under a prescribed data-dependent additive centering, the empirical laws of log-log transformed persistence…
What Linear Probes Miss: Multi-View Probing for Weight-Space Learning
Eunwoo Heo, Kyeongkook Seo, Jaejun Yoo
The explosive growth of open-source model repositories has created a Model Jungle, where checkpoints are frequently shared without adequate documentation or metadata. While weight-…
Persistent Homology of Music Network with Three Different Distances
Eunwoo Heo, Byeongchan Choi, Myung ock Kim +2
Persistent homology has been widely used to discover hidden topological structures in data across various applications, including music data. To apply persistent homology, a distan…
Schwartz duality for singularly perturbed nonlinear differential equations with Chebyshev spectral method
Eunwoo Heo, Kwanghyuk Park, Jae-Hun Jung
Singularly perturbed differential equations with a Dirac delta function yield discontinuous solutions. Therefore, careful consideration is required when using numerical methods to…
Persistent Homology with Path-Representable Distances on Graph Data
Eunwoo Heo, Byeongchan Choi, Jae-Hun Jung
Persistent homology (PH) has been widely applied to graph data to extract topological features. However, little attention has been paid to how different distance functions on a gra…
Persistent homology of featured time series data and its applications
Eunwoo Heo, Jae-Hun Jung
Recent studies have actively employed persistent homology (PH), a topological data analysis technique, to analyze the topological information in time series data. Many successful s…
PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction
Junwon You, Eunwoo Heo, Jae-Hun Jung
Link prediction (LP), inferring the connectivity between nodes, is a significant research area in graph data, where a link represents essential information on relationships between…