Follow
Sihyun Yu
Sihyun Yu
Ph.D. student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
S Yu, J Tack, S Mo, H Kim, J Kim, JW Ha, J Shin
International Conference on Learning Representations, 2022
1532022
Video Probabilistic Diffusion Models in Projected Latent Space
S Yu, K Sohn, S Kim, J Shin
The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
772023
Consistency Regularization for Adversarial Robustness
J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin
AAAI Conference on Artificial Intelligence, 2022
402022
RoMA: Robust Model Adaptation for Offline Model-based Optimization
S Yu, S Ahn, L Song, J Shin
Advances in Neural Information Processing Systems 35, 2021
292021
Scalable Neural Video Representations with Learnable Positional Features
S Kim, S Yu, J Lee, J Shin
Advances in Neural Information Processing Systems 36, 2022
232022
Abstract Reasoning via Logic-guided Generation
S Yu, S Mo, S Ahn, J Shin
ICML Workshop on Self-Supervised Learning for Reasoning and Perception, 2021
72021
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz
Advances in Neural Information Processing Systems 37, 2023
4*2023
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
S Kim, J Nam, S Yu, Y Shin, J Shin
NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023
22023
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
S Yu, W Nie, DA Huang, B Li, J Shin, A Anandkumar
International Conference on Learning Representations, 2024
2024
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
J Jeong, S Yu, H Lee, J Shin
The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–10