Seunghyuk Cho

According to our database, Seunghyuk Cho authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Feature Unlearning for Pre-trained GANs and VAEs.

Saemi Moon, Seunghyuk Cho, Dongwoo Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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 Generative Models via Implicit Feedback.

Saemi Moon, Seunghyuk Cho, Dongwoo Kim

CoRR, 2023

Hyperbolic VAE via Latent Gaussian Distributions.

Seunghyuk Cho, Juyong Lee, Dongwoo Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

GM-VAE: Representation Learning with VAE on Gaussian Manifold.

Seunghyuk Cho, Juyong Lee, Dongwoo Kim

CoRR, 2022

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning.

Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Deep Learning from Crowds with Belief Propagation.

Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Semi-supervised Image Classification with Grad-CAM Consistency.

Juyong Lee, Seunghyuk Cho

CoRR, 2021

Roughly Collected Dataset for Contact Force Sensing Catheter.

Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang

CoRR, 2021