Roughly Collected Dataset for Contact Force Sensing Catheter. - Seunghyuk Cho; Minsoo Koo; Dongwoo Kim 002; Juyong Lee; Yeonwoo Jung; Kibyung Nam; Changmo Hwang (CoRR, 2021)

Semi-supervised Image Classification with Grad-CAM Consistency. - Juyong Lee; Seunghyuk Cho (CoRR, 2021)

Robust Deep Learning from Crowds with Belief Propagation. - Hoyoung Kim; Seunghyuk Cho; Dongwoo Kim 002; Jungseul Ok (AISTATS, 2022)

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. - Seunghyuk Cho; Juyong Lee; Jaesik Park; Dongwoo Kim 002 (NeurIPS, 2022)

GM-VAE: Representation Learning with VAE on Gaussian Manifold. - Seunghyuk Cho; Juyong Lee; Dongwoo Kim 002 (CoRR, 2022)

Hyperbolic VAE via Latent Gaussian Distributions. - Seunghyuk Cho; Juyong Lee; Dongwoo Kim 002 (NeurIPS, 2023)

Feature Unlearning for Generative Models via Implicit Feedback. - Saemi Moon; Seunghyuk Cho; Dongwoo Kim 002 (CoRR, 2023)

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. - Sungjun Cho; Seunghyuk Cho; Sungwoo Park; Hankook Lee; Honglak Lee; Moontae Lee (CoRR, 2023)

Feature Unlearning for Pre-trained GANs and VAEs. - Saemi Moon; Seunghyuk Cho; Dongwoo Kim 002 (AAAI, 2024)

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder. - Seunghyuk Cho; Zhenyue Qin; Yang Liu; Youngbin Choi; Seungbeom Lee; Dongwoo Kim (CoRR, 2025)

CoPL: Collaborative Preference Learning for Personalizing LLMs. - Youngbin Choi; Seunghyuk Cho; Minjong Lee; Moon Jeong Park; Yesong Ko; Jungseul Ok; Dongwoo Kim 002 (CoRR, 2025)

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey. - Seunghyuk Cho; Zhenyue Qin; Yang Liu 249; Youngbin Choi; Seungbeom Lee; Dongwoo Kim 002 (CoRR, 2025)