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← Authors

Sungjin Ahn

39 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (46) 🌍 Conference Polyglot (7) πŸ† Grand Slam πŸ† Keyword Champion (4) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (109) ❓ The Questioner ⚑ Prolific Year (5) πŸ’Ž Century Club (38) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

ICLR (11) ICML (11) NIPS (10) ACL (2) AISTATS (2) AAAI (1) ICCV (1) JMLR (1)

Top co-authors

Gautam Singh (12) Fei Deng (10) Jaesik Yoon (8) Yi-Fu Wu (7) Yoshua Bengio (6) Caglar Gulcehre (5) Jindong Jiang (5) Chang Chen (4) Junyeong Park (3) Max Welling (3)

Keywords

object-centric learning (4) generative model (4) unsupervised learning (4) world model (3) markov chain monte carlo (3) neural process (2) systematic generalization (2) object-centric world model (2) state space model (2) reinforcement learning (2) variational inference (2) representation learning (2) object-centric representation (2) slot attention (2) temporal modeling (2) model-based reinforcement learning (2) stochastic gradient (2) video understanding (2) temporal abstraction (2) bayesian inference (1)

Papers

Extendable Planning via Multiscale Diffusion AAAI 2026 MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory ICLR 2025 Monte Carlo Tree Diffusion for System 2 Planning ICML 2025 Dreamweaver: Learning Compositional World Models from Pixels ICLR 2025 Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming ICML 2024 PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer ICML 2024 Spatially-Aware Transformers for Embodied Agents ICLR 2024 Learning to Compose: Improving Object Centric Learning by Injecting Compositionality ICLR 2024 Parallelized Spatiotemporal Slot Binding for Videos ICML 2024 Slot State Space Models NIPS 2024 Neural Language of Thought Models ICLR 2024 Simple Hierarchical Planning with Diffusion ICLR 2024 Neural Systematic Binder ICLR 2023 Object-Centric Slot Diffusion NIPS 2023 Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models NIPS 2023 Facing Off World Model Backbones: RNNs, Transformers, and S4 NIPS 2023 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML 2023 Illiterate DALL-E Learns to Compose ICLR 2022 Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos NIPS 2022 DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations ICML 2022 Generative Video Transformer: Can Objects be the Words? ICML 2021 ROOTS: Object-Centric Representation and Rendering of 3D Scenes JMLR 2021 Structured World Belief for Reinforcement Learning in POMDP ICML 2021 Generative Scene Graph Networks ICLR 2021 SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition ICLR 2020 SCALOR: Generative World Models with Scalable Object Representations ICLR 2020 Improving Generative Imagination in Object-Centric World Models ICML 2020 Robustifying Sequential Neural Processes ICML 2020 Generative Neurosymbolic Machines NIPS 2020 Variational Temporal Abstraction NIPS 2019 Domain-Adaptive Single-View 3D Reconstruction ICCV 2019 Neural Multisensory Scene Inference NIPS 2019 Sequential Neural Processes NIPS 2019 Bayesian Model-Agnostic Meta-Learning NIPS 2018 Pointing the Unknown Words ACL 2016 Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016 Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus ACL 2016 Distributed Stochastic Gradient MCMC ICML 2014 Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013