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Sihyun Yu
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2020 – today
- 2024
- [c9]Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar:
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. ICLR 2024 - [c8]Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin:
Data-Efficient Molecular Generation with Hierarchical Textual Inversion. ICML 2024 - [i11]Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar:
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. CoRR abs/2403.14148 (2024) - [i10]Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin:
Data-Efficient Molecular Generation with Hierarchical Textual Inversion. CoRR abs/2405.02845 (2024) - [i9]Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie:
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. CoRR abs/2410.06940 (2024) - 2023
- [c7]Jongheon Jeong
, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR 2023: 16206-16218 - [c6]Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin:
Video Probabilistic Diffusion Models in Projected Latent Space. CVPR 2023: 18456-18466 - [c5]Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz:
Learning Large-scale Neural Fields via Context Pruned Meta-Learning. NeurIPS 2023 - [i8]Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz:
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. CoRR abs/2302.00617 (2023) - [i7]Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin:
Video Probabilistic Diffusion Models in Projected Latent Space. CoRR abs/2302.07685 (2023) - [i6]Jongheon Jeong
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR abs/2303.14096 (2023) - 2022
- [c4]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [c3]Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR 2022 - [c2]Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin:
Scalable Neural Video Representations with Learnable Positional Features. NeurIPS 2022 - [i5]Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. CoRR abs/2202.10571 (2022) - [i4]Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin:
Scalable Neural Video Representations with Learnable Positional Features. CoRR abs/2210.06823 (2022) - 2021
- [c1]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS 2021: 4619-4631 - [i3]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021) - [i2]Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Abstract Reasoning via Logic-guided Generation. CoRR abs/2107.10493 (2021) - [i1]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR abs/2110.14188 (2021)
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