Sungjin Ahn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
11
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Extendable Planning via Multiscale Diffusion. | Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Samyeul Noh, Yoshua Bengio, Sungjin Ahn |
| 2025 | ICCV | STORM: Token-Efficient Long Video Understanding for Multimodal LLMs. | Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon |
| 2025 | ICLR | Dreamweaver: Learning Compositional World Models from Pixels. | Junyeob Baek, Yi-Fu Wu, Gautam Singh, Sungjin Ahn |
| 2025 | ICLR | MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory. | Junyeong Park, Junmo Cho, Sungjin Ahn |
| 2025 | ICML | Monte Carlo Tree Diffusion for System 2 Planning. | Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn |
| 2024 | ICLR | Simple Hierarchical Planning with Diffusion. | Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn |
| 2024 | ICLR | Spatially-Aware Transformers for Embodied Agents. | Junmo Cho, Jaesik Yoon, Sungjin Ahn |
| 2024 | ICLR | Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. | Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong |
| 2024 | ICLR | Neural Language of Thought Models. | Yi-Fu Wu, Minseung Lee, Sungjin Ahn |
| 2024 | ICML | PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. | Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn |
| 2024 | ICML | Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming. | Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn |
| 2024 | ICML | Parallelized Spatiotemporal Slot Binding for Videos. | Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che |
| 2023 | ICLR | Neural Systematic Binder. | Gautam Singh, Yeongbin Kim, Sungjin Ahn |
| 2023 | ICML | An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning. | Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn |
| 2022 | ICLR | Illiterate DALL-E Learns to Compose. | Gautam Singh, Fei Deng, Sungjin Ahn |
| 2022 | ICML | DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. | Fei Deng, Ingook Jang, Sungjin Ahn |
| 2021 | ICLR | Generative Scene Graph Networks. | Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn |
| 2021 | ICML | Structured World Belief for Reinforcement Learning in POMDP. | Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn |
| 2021 | ICML | Generative Video Transformer: Can Objects be the Words? | Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn |
| 2020 | ICLR | SCALOR: Generative World Models with Scalable Object Representations. | Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn |
| 2020 | ICLR | SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. | Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn |
| 2020 | ICML | Improving Generative Imagination in Object-Centric World Models. | Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn |
| 2020 | ICML | Robustifying Sequential Neural Processes. | Jaesik Yoon, Gautam Singh, Sungjin Ahn |
| 2019 | ICCV | Domain-Adaptive Single-View 3D Reconstruction. | Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn |
| 2017 | AAAI | Denoising Criterion for Variational Auto-Encoding Framework. | Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio |
| 2017 | ICLR | Hierarchical Multiscale Recurrent Neural Networks. | Junyoung Chung, Sungjin Ahn, Yoshua Bengio |
| 2016 | ACL | Pointing the Unknown Words. | aglar Glehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio |
| 2016 | ACL | Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. | Iulian Vlad Serban, Alberto Garca-Durn, aglar Glehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio |
| 2016 | AISTATS | Scalable MCMC for Mixed Membership Stochastic Blockmodels. | Wenzhe Li, Sungjin Ahn, Max Welling |
| 2015 | KDD | Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. | Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling |
| 2014 | ICML | Distributed Stochastic Gradient MCMC. | Sungjin Ahn, Babak Shahbaba, Max Welling |
| 2013 | AISTATS | Distributed and Adaptive Darting Monte Carlo through Regenerations. | Sungjin Ahn, Yutian Chen, Max Welling |
| 2012 | ICML | Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring. | Sungjin Ahn, Anoop Korattikara Balan, Max Welling |
| 2008 | AINA | Wireless Sensor Networks for Cultural Property Protection. | Jongwoo Sung, Sungjin Ahn, Taesoo Park, Seonghun Jang, Dongheui Yun, Jonggu Kang, Seongeun Yoo, Pohkit Chong, Daeyoung Kim |
| 2007 | WCNC | Mosaic Localization for Wireless Sensor Networks. | Jihoon Kang, Daeyoung Kim, Sungjin Ahn |
| 2006 | EWSN | Proactive Context-Aware Sensor Networks. | Sungjin Ahn, Daeyoung Kim |
| 2005 | EUC | Power-Aware Position Vector Routing for Wireless Sensor Networks. | Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park |