1 citations · 2 across the 6 of their papers we have counts for
7 papers
Recovery Rates Are Not Comparable Across Transcription Factors: Chance Correction for Attribution Evaluation
Hyunkyung Han, Min Jung Kim
Attribution methods for genomic sequence models are commonly evaluated by how much of a known motif they recover, or by how a prediction degrades as evidence is deleted. Neither sc…
Ablation-Corrected Evaluation of Attribution Maps in Echocardiographic Ejection-Fraction Models
Hyunkyung Han, Min Jung Kim
Attribution maps for echocardiographic ejection-fraction models are evaluated by their overlap with an expert left-ventricular annotation, compared against a chance level that is c…
Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography
Hyunkyung Han, Min Jung Kim
Objective: Concept bottleneck models route prediction through interpretable intermediate variables, and their validity is normally judged by how accurately those variables are pred…
Rethinking Random Masking in Self-Distillation on ViT
Jihyeon Seong, Hyunkyung Han
Vision Transformers (ViTs) have demonstrated remarkable performance across a wide range of vision tasks. In particular, self-distillation frameworks such as DINO have contributed s…
Optimal path for Biomedical Text Summarization Using Pointer GPT
Hyunkyung Han, Jaesik Choi
Biomedical text summarization is a critical tool that enables clinicians to effectively ascertain patient status. Traditionally, text summarization has been accomplished with trans…
Capsule Neural Networks as Noise Stabilizer for Time Series Data
Soyeon Kim, Jihyeon Seong, Hyunkyung Han +1
Capsule Neural Networks utilize capsules, which bind neurons into a single vector and learn position equivariant features, which makes them more robust than original Convolutional…
CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification
Hyunkyung Han, Jihyeon Seong, Jaesik Choi
Capsule Neural Networks (CapsNets) is a novel architecture that utilizes vector-wise representations formed by multiple neurons. Specifically, the Dynamic Routing CapsNets (DR-Caps…