RoMA: Robust Model Adaptation for Offline Model-based Optimization. - Sihyun Yu; Sungsoo Ahn; Le Song; Jinwoo Shin (NeurIPS, 2021)

Abstract Reasoning via Logic-guided Generation. - Sihyun Yu; Sangwoo Mo; Sungsoo Ahn; Jinwoo Shin (CoRR, 2021)

Consistency Regularization for Adversarial Robustness. - Jihoon Tack; Sihyun Yu; Jongheon Jeong; Minseon Kim; Sung Ju Hwang; Jinwoo Shin (AAAI, 2022)

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. - Sihyun Yu; Jihoon Tack; Sangwoo Mo; Hyunsu Kim; Junho Kim; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2022)

Scalable Neural Video Representations with Learnable Positional Features. - Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin (NeurIPS, 2022)

Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. - Jongheon Jeong; Sihyun Yu; Hankook Lee; Jinwoo Shin (CVPR, 2023)

Video Probabilistic Diffusion Models in Projected Latent Space. - Sihyun Yu; Kihyuk Sohn; Subin Kim 001; Jinwoo Shin (CVPR, 2023)

Learning Large-scale Neural Fields via Context Pruned Meta-Learning. - Jihoon Tack; Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin; Jonathan Richard Schwarz (NeurIPS, 2023)

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. - Jihoon Tack; Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin; Jonathan Richard Schwarz (CoRR, 2023)

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. - Sihyun Yu; Weili Nie; De-An Huang; Boyi Li; Jinwoo Shin; Anima Anandkumar (ICLR, 2024)

Data-Efficient Molecular Generation with Hierarchical Textual Inversion. - Seojin Kim; Jaehyun Nam; Sihyun Yu; Younghoon Shin; Jinwoo Shin (ICML, 2024)

Controllable Human Image Generation with Personalized Multi-Garments. - Yisol Choi; Sangkyung Kwak; Sihyun Yu; Hyungwon Choi; Jinwoo Shin (CVPR, 2025)

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction. - Huiwon Jang; Sihyun Yu; Jinwoo Shin; Pieter Abbeel; Younggyo Seo (CVPR, 2025)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. - Sihyun Yu; Sangkyung Kwak; Huiwon Jang; Jongheon Jeong; Jonathan Huang; Jinwoo Shin; Saining Xie (ICLR, 2025)

MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation. - Sihyun Yu; Meera Hahn; Dan Kondratyuk; Jinwoo Shin; Agrim Gupta; José Lezama; Irfan Essa; David A. Ross; Jonathan Huang (CoRR, 2025)

Learning Flexible Forward Trajectories for Masked Molecular Diffusion. - Hyunjin Seo; Taewon Kim; Sihyun Yu; Sungsoo Ahn (CoRR, 2025)

Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance. - June Suk Choi; Kyungmin Lee; Sihyun Yu; Yisol Choi; Jinwoo Shin; Kimin Lee (CoRR, 2025)