Sungjin Ahn

106 papers A* 37A 2B 2Journal 56Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Extendable Planning via Multiscale Diffusion.
AAAI
Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Samyeul Noh, Yoshua Bengio, Sungjin Ahn
2026 J jnl
Understanding LoRA as Knowledge Memory: An Empirical Analysis.
CoRR
Seungju Back, Dongwoo Lee, Naun Kang, Taehee Lee, S. K. Hong, Youngjune Gwon, Sungjin Ahn
2025 J jnl
Adaptive Cyclic Diffusion for Inference Scaling.
CoRR
Gyubin Lee, Truong Nhat Nguyen Bao, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn
2025 J jnl
Compositional Monte Carlo Tree Diffusion for Extendable Planning.
CoRR
Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
2025 J jnl
CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter.
CoRR
Junyeong Park, Hyeonseo Cho, Sungjin Ahn
2025 J jnl
Discrete JEPA: Learning Discrete Token Representations without Reconstruction.
CoRR
Junyeob Baek, Hosung Lee, Christopher Hoang, Mengye Ren, Sungjin Ahn
2025 A* conf
Dreamweaver: Learning Compositional World Models from Pixels.
ICLR
Junyeob Baek, Yi-Fu Wu, Gautam Singh, Sungjin Ahn
2025 J jnl
Dreamweaver: Learning Compositional World Representations from Pixels.
CoRR
Junyeob Baek, Yi-Fu Wu, Gautam Singh, Sungjin Ahn
2025 J jnl
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion.
CoRR
Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Yoshua Bengio, Sungjin Ahn
2025 J jnl
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning.
CoRR
Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio, Sungjin Ahn
2025 J jnl
Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall.
CoRR
Mingyu Jo, Jaesik Yoon, Justin Deschenaux, Caglar Gulcehre, Sungjin Ahn
2025 A* conf
Monte Carlo Tree Diffusion for System 2 Planning.
ICML
Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn
2025 J jnl
Monte Carlo Tree Diffusion for System 2 Planning.
CoRR
Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn
2025 A* conf
MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory.
ICLR
Junyeong Park, Junmo Cho, Sungjin Ahn
2025 — conf
STORM: Token-Efficient Long Video Understanding for Multimodal LLMs.
ICCVW
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 J jnl
Search-Based Correction of Reasoning Chains for Language Models.
CoRR
Minsu Kim, Jean-Pierre R. Falet, Oliver E. Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio
2025 J jnl
Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM.
CoRR
Donghwan Chi, Hyomin Kim, Yoonjin Oh, Yongjin Kim, Donghoon Lee, DaeJin Jo, Jongmin Kim, Junyeob Baek, Sungjin Ahn, Sungwoong Kim
2025 J jnl
Token-Efficient Long Video Understanding for Multimodal LLMs.
CoRR
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
2024 A* conf
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming.
ICML
Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn
2024 J jnl
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming.
CoRR
Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn
2024 A* conf
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality.
ICLR
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
2024 J jnl
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality.
CoRR
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
2024 J jnl
Mr.Steve: Instruction-Following Agents in Minecraft with What-Where-When Memory.
CoRR
Junyeong Park, Junmo Cho, Sungjin Ahn
2024 A* conf
Neural Language of Thought Models.
ICLR
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
2024 J jnl
Parallelized Spatiotemporal Binding.
CoRR
Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che
2024 A* conf
Parallelized Spatiotemporal Slot Binding for Videos.
ICML
Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che
2024 A* conf
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.
ICML
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.
CoRR
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 A* conf
Simple Hierarchical Planning with Diffusion.
ICLR
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
Simple Hierarchical Planning with Diffusion.
CoRR
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 A* conf
Slot State Space Models.
NeurIPS
Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
2024 J jnl
Slot State Space Models.
CoRR
Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
2024 J jnl
Spatially-Aware Transformer for Embodied Agents.
CoRR
Junmo Cho, Jaesik Yoon, Sungjin Ahn
2024 A* conf
Spatially-Aware Transformers for Embodied Agents.
ICLR
Junmo Cho, Jaesik Yoon, Sungjin Ahn
2024 J jnl
Structured World Modeling via Semantic Vector Quantization.
CoRR
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
2023 A* conf
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning.
ICML
Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn
2023 J jnl
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning.
CoRR
Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn
2023 J jnl
Computational Prediction of the Phenotypic Effect of Flavonoids on Adiponectin Biosynthesis.
J. Chem. Inf. Model.
Seungchan An, Seok Young Hwang, Junpyo Gong, Sungjin Ahn, In Guk Park, Soyeon Oh, Young-Won Chin, Minsoo Noh
2023 A* conf
Facing Off World Model Backbones: RNNs, Transformers, and S4.
NeurIPS
Fei Deng, Junyeong Park, Sungjin Ahn
2023 J jnl
Facing off World Model Backbones: RNNs, Transformers, and S4.
CoRR
Fei Deng, Junyeong Park, Sungjin Ahn
2023 A* conf
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models.
NeurIPS
Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
2023 J jnl
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models.
CoRR
Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
2023 A* conf
Neural Systematic Binder.
ICLR
Gautam Singh, Yeongbin Kim, Sungjin Ahn
2023 — conf
Object-Centric Semantic Vector Quantization.
UniReps
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
2023 A* conf
Object-Centric Slot Diffusion.
NeurIPS
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
2023 J jnl
Object-Centric Slot Diffusion.
CoRR
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
2022 A* conf
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.
ICML
Fei Deng, Ingook Jang, Sungjin Ahn
2022 A* conf
Illiterate DALL-E Learns to Compose.
ICLR
Gautam Singh, Fei Deng, Sungjin Ahn
2022 J jnl
Neural Block-Slot Representations.
CoRR
Gautam Singh, Yeongbin Kim, Sungjin Ahn
2022 A* conf
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos.
NeurIPS
Gautam Singh, Yi-Fu Wu, Sungjin Ahn
2022 J jnl
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos.
CoRR
Gautam Singh, Yi-Fu Wu, Sungjin Ahn
2022 J jnl
TransDreamer: Reinforcement Learning with Transformer World Models.
CoRR
Chang Chen, Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
2021 J jnl
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.
CoRR
Fei Deng, Ingook Jang, Sungjin Ahn
2021 A* conf
Generative Scene Graph Networks.
ICLR
Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn
2021 A* conf
Generative Video Transformer: Can Objects be the Words?
ICML
Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
2021 J jnl
Generative Video Transformer: Can Objects be the Words?
CoRR
Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
2021 J jnl
Illiterate DALL-E Learns to Compose.
CoRR
Gautam Singh, Fei Deng, Sungjin Ahn
2021 J jnl
ROOTS: Object-Centric Representation and Rendering of 3D Scenes.
J. Mach. Learn. Res.
Chang Chen, Fei Deng, Sungjin Ahn
2021 A* conf
Structured World Belief for Reinforcement Learning in POMDP.
ICML
Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn
2021 J jnl
Structured World Belief for Reinforcement Learning in POMDP.
CoRR
Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn
2020 A* conf
Generative Neurosymbolic Machines.
NeurIPS
Jindong Jiang, Sungjin Ahn
2020 J jnl
Generative Neurosymbolic Machines.
CoRR
Jindong Jiang, Sungjin Ahn
2020 A* conf
Improving Generative Imagination in Object-Centric World Models.
ICML
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn
2020 J jnl
Improving Generative Imagination in Object-Centric World Models.
CoRR
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn
2020 J jnl
Learning to Infer 3D Object Models from Images.
CoRR
Chang Chen, Fei Deng, Sungjin Ahn
2020 A* conf
Robustifying Sequential Neural Processes.
ICML
Jaesik Yoon, Gautam Singh, Sungjin Ahn
2020 J jnl
Robustifying Sequential Neural Processes.
CoRR
Jaesik Yoon, Gautam Singh, Sungjin Ahn
2020 A* conf
SCALOR: Generative World Models with Scalable Object Representations.
ICLR
Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn
2020 A* conf
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.
ICLR
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
2020 J jnl
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.
CoRR
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
2019 A* conf
Domain-Adaptive Single-View 3D Reconstruction.
ICCV
Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
2019 J jnl
Generative Hierarchical Models for Parts, Objects, and Scenes.
CoRR
Fei Deng, Zhuo Zhi, Sungjin Ahn
2019 A* conf
Neural Multisensory Scene Inference.
NeurIPS
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn
2019 J jnl
Neural Multisensory Scene Inference.
CoRR
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
2019 J jnl
Reinforced Imitation in Heterogeneous Action Space.
CoRR
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro
2019 J jnl
Scalable Object-Oriented Sequential Generative Models.
CoRR
Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn
2019 A* conf
Sequential Neural Processes.
NeurIPS
Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn
2019 J jnl
Sequential Neural Processes.
CoRR
Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn
2019 A* conf
Variational Temporal Abstraction.
NeurIPS
Taesup Kim, Sungjin Ahn, Yoshua Bengio
2019 J jnl
Variational Temporal Abstraction.
CoRR
Taesup Kim, Sungjin Ahn, Yoshua Bengio
2018 A* conf
Bayesian Model-Agnostic Meta-Learning.
NeurIPS
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
2018 J jnl
Bayesian Model-Agnostic Meta-Learning.
CoRR
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
2018 J jnl
Learning Single-View 3D Reconstruction with Adversarial Training.
CoRR
Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
2017 A* conf
Denoising Criterion for Variational Auto-Encoding Framework.
AAAI
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
2017 — conf
Hierarchical Multiscale Recurrent Neural Networks.
ICLR (Poster)
Junyoung Chung, Sungjin Ahn, Yoshua Bengio
2017 — conf
SENA: Preserving Social Structure for Network Embedding.
HT
Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park
2016 J jnl
A Neural Knowledge Language Model.
CoRR
Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, Yoshua Bengio
2016 — conf
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
ACL (1)
Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio
2016 J jnl
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.
CoRR
Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio
2016 J jnl
Hierarchical Memory Networks.
CoRR
Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio
2016 J jnl
Hierarchical Multiscale Recurrent Neural Networks.
CoRR
Junyoung Chung, Sungjin Ahn, Yoshua Bengio
2016 — conf
Pointing the Unknown Words.
ACL (1)
Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
2016 J jnl
Pointing the Unknown Words.
CoRR
Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
2016 A conf
Scalable MCMC for Mixed Membership Stochastic Blockmodels.
AISTATS
Wenzhe Li, Sungjin Ahn, Max Welling
2016 — conf
Scalable Overlapping Community Detection.
IPDPS Workshops
Ismail El-Helw, Rutger F. H. Hofman, Wenzhe Li, Sungjin Ahn, Max Welling, Henri E. Bal
2015 J jnl
Denoising Criterion for Variational Auto-Encoding Framework.
CoRR
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
2015 A* conf
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.
KDD
Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling
2015 J jnl
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.
CoRR
Sungjin Ahn, Anoop Korattikara Balan, Nathan Liu, Suju Rajan, Max Welling
2015 J jnl
Scalable MCMC for Mixed Membership Stochastic Blockmodels.
CoRR
Wenzhe Li, Sungjin Ahn, Max Welling
2014 A* conf
Distributed Stochastic Gradient MCMC.
ICML
Sungjin Ahn, Babak Shahbaba, Max Welling
2013 A conf
Distributed and Adaptive Darting Monte Carlo through Regenerations.
AISTATS
Sungjin Ahn, Yutian Chen, Max Welling
2012 A* conf
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring.
ICML
Sungjin Ahn, Anoop Korattikara Balan, Max Welling
2008 — conf
Wireless Sensor Networks for Cultural Property Protection.
AINA Workshops
Jongwoo Sung, Sungjin Ahn, Taesoo Park, Seonghun Jang, Dongheui Yun, Jonggu Kang, Seongeun Yoo, Pohkit Chong, Daeyoung Kim
2007 B conf
Mosaic Localization for Wireless Sensor Networks.
WCNC
Jihoon Kang, Daeyoung Kim, Sungjin Ahn
2006 B conf
Proactive Context-Aware Sensor Networks.
EWSN
Sungjin Ahn, Daeyoung Kim
2005 — conf
Power-Aware Position Vector Routing for Wireless Sensor Networks.
EUC Workshops
Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park