Sungjin Ahn

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 76

Top Topics

Reinforcement Learning

Recurrent Neural Networks

Stochastic Gradient

Top Venues

Publications

Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming. CoRR (2024)
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. CoRR (2024)
Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
Slot State Space Models. CoRR (2024)
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
Structured World Modeling via Semantic Vector Quantization. CoRR (2024)
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. CoRR (2024)
Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che
Parallelized Spatiotemporal Binding. CoRR (2024)
Junmo Cho, Jaesik Yoon, Sungjin Ahn
Spatially-Aware Transformers for Embodied Agents. ICLR (2024)
Chang Chen, Fei Deng, Kenji Kawaguchi, Çaglar Gülçehre, Sungjin Ahn
Simple Hierarchical Planning with Diffusion. CoRR (2024)
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
Simple Hierarchical Planning with Diffusion. ICLR (2024)
Junmo Cho, Jaesik Yoon, Sungjin Ahn
Spatially-Aware Transformer for Embodied Agents. CoRR (2024)
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. ICLR (2024)
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
Neural Language of Thought Models. ICLR (2024)
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
Object-Centric Slot Diffusion. CoRR (2023)
Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. CoRR (2023)
Fei Deng, Junyeong Park, Sungjin Ahn
Facing Off World Model Backbones: RNNs, Transformers, and S4. NeurIPS (2023)
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
Object-Centric Slot Diffusion. NeurIPS (2023)
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
Object-Centric Semantic Vector Quantization. UniReps (2023)
Gautam Singh, Yeongbin Kim, Sungjin Ahn
Neural Systematic Binder. ICLR (2023)
Fei Deng, Junyeong Park, Sungjin Ahn
Facing off World Model Backbones: RNNs, Transformers, and S4. CoRR (2023)
Seungchan An, Seok Young Hwang, Junpyo Gong, Sungjin Ahn, In Guk Park, Soyeon Oh, Young-Won Chin, Minsoo Noh
Computational Prediction of the Phenotypic Effect of Flavonoids on Adiponectin Biosynthesis. J. Chem. Inf. Model. 63 (3) (2023)
Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. NeurIPS (2023)
Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning. CoRR (2023)
Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning. ICML (2023)
Gautam Singh, Yi-Fu Wu, Sungjin Ahn
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. CoRR (2022)
Gautam Singh, Fei Deng, Sungjin Ahn
Illiterate DALL-E Learns to Compose. ICLR (2022)
Gautam Singh, Yeongbin Kim, Sungjin Ahn
Neural Block-Slot Representations. CoRR (2022)
Chang Chen, Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
TransDreamer: Reinforcement Learning with Transformer World Models. CoRR (2022)
Gautam Singh, Yi-Fu Wu, Sungjin Ahn
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. NeurIPS (2022)
Fei Deng, Ingook Jang, Sungjin Ahn
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. ICML (2022)
Chang Chen, Fei Deng, Sungjin Ahn
ROOTS: Object-Centric Representation and Rendering of 3D Scenes. J. Mach. Learn. Res. 22 (2021)
Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
Generative Video Transformer: Can Objects be the Words? ICML (2021)
Fei Deng, Ingook Jang, Sungjin Ahn
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. CoRR (2021)
Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn
Structured World Belief for Reinforcement Learning in POMDP. ICML (2021)
Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn
Structured World Belief for Reinforcement Learning in POMDP. CoRR (2021)
Gautam Singh, Fei Deng, Sungjin Ahn
Illiterate DALL-E Learns to Compose. CoRR (2021)
Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn
Generative Video Transformer: Can Objects be the Words? CoRR (2021)
Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn
Generative Scene Graph Networks. ICLR (2021)
Jindong Jiang, Sungjin Ahn
Generative Neurosymbolic Machines. NeurIPS (2020)
Jindong Jiang, Sungjin Ahn
Generative Neurosymbolic Machines. CoRR (2020)
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. CoRR (2020)
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn
Improving Generative Imagination in Object-Centric World Models. ICML (2020)
Jaesik Yoon, Gautam Singh, Sungjin Ahn
Robustifying Sequential Neural Processes. CoRR (2020)
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. ICLR (2020)
Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn
SCALOR: Generative World Models with Scalable Object Representations. ICLR (2020)
Jaesik Yoon, Gautam Singh, Sungjin Ahn
Robustifying Sequential Neural Processes. ICML (2020)
Chang Chen, Fei Deng, Sungjin Ahn
Learning to Infer 3D Object Models from Images. CoRR (2020)
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn
Improving Generative Imagination in Object-Centric World Models. CoRR (2020)
Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn
Sequential Neural Processes. NeurIPS (2019)
Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn
Sequential Neural Processes. CoRR (2019)
Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn
Scalable Object-Oriented Sequential Generative Models. CoRR (2019)
Taesup Kim, Sungjin Ahn, Yoshua Bengio
Variational Temporal Abstraction. NeurIPS (2019)
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn
Neural Multisensory Scene Inference. NeurIPS (2019)
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro
Reinforced Imitation in Heterogeneous Action Space. CoRR (2019)
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
Neural Multisensory Scene Inference. CoRR (2019)
Fei Deng, Zhuo Zhi, Sungjin Ahn
Generative Hierarchical Models for Parts, Objects, and Scenes. CoRR (2019)
Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
Domain-Adaptive Single-View 3D Reconstruction. ICCV (2019)
Taesup Kim, Sungjin Ahn, Yoshua Bengio
Variational Temporal Abstraction. CoRR (2019)
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
Bayesian Model-Agnostic Meta-Learning. NeurIPS (2018)
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
Bayesian Model-Agnostic Meta-Learning. CoRR (2018)
Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
Learning Single-View 3D Reconstruction with Adversarial Training. CoRR (2018)
Junyoung Chung, Sungjin Ahn, Yoshua Bengio
Hierarchical Multiscale Recurrent Neural Networks. ICLR (Poster) (2017)
Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park
SENA: Preserving Social Structure for Network Embedding. HT (2017)
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
Denoising Criterion for Variational Auto-Encoding Framework. AAAI (2017)
Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio
Hierarchical Memory Networks. CoRR (2016)
Junyoung Chung, Sungjin Ahn, Yoshua Bengio
Hierarchical Multiscale Recurrent Neural Networks. CoRR (2016)
Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. CoRR (2016)
Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
Pointing the Unknown Words. CoRR (2016)
Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
Pointing the Unknown Words. ACL (1) (2016)
Wenzhe Li, Sungjin Ahn, Max Welling
Scalable MCMC for Mixed Membership Stochastic Blockmodels. AISTATS (2016)
Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, Yoshua Bengio
A Neural Knowledge Language Model. CoRR (2016)
Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. ACL (1) (2016)
Ismail El-Helw, Rutger F. H. Hofman, Wenzhe Li, Sungjin Ahn, Max Welling, Henri E. Bal
Scalable Overlapping Community Detection. IPDPS Workshops (2016)
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
Denoising Criterion for Variational Auto-Encoding Framework. CoRR (2015)
Wenzhe Li, Sungjin Ahn, Max Welling
Scalable MCMC for Mixed Membership Stochastic Blockmodels. CoRR (2015)
Sungjin Ahn, Anoop Korattikara Balan, Nathan Liu, Suju Rajan, Max Welling
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. CoRR (2015)
Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. KDD (2015)
Sungjin Ahn, Babak Shahbaba, Max Welling
Distributed Stochastic Gradient MCMC. ICML (2014)
Sungjin Ahn, Yutian Chen, Max Welling
Distributed and Adaptive Darting Monte Carlo through Regenerations. AISTATS (2013)
Sungjin Ahn, Anoop Korattikara Balan, Max Welling
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring. ICML (2012)
Jongwoo Sung, Sungjin Ahn, Taesoo Park, Seonghun Jang, Dongheui Yun, Jonggu Kang, Seongeun Yoo, Pohkit Chong, Daeyoung Kim
Wireless Sensor Networks for Cultural Property Protection. AINA Workshops (2008)
Jihoon Kang, Daeyoung Kim, Sungjin Ahn
Mosaic Localization for Wireless Sensor Networks. WCNC (2007)
Sungjin Ahn, Daeyoung Kim
Proactive Context-Aware Sensor Networks. EWSN (2006)
Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park
Power-Aware Position Vector Routing for Wireless Sensor Networks. EUC Workshops (2005)