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ORCIDSungjin Ahn
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2020 – today
- 2024
[c44]Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn:
Simple Hierarchical Planning with Diffusion. ICLR 2024- [c43]Junmo Cho, Jaesik Yoon, Sungjin Ahn:
Spatially-Aware Transformers for Embodied Agents. ICLR 2024 - [c42]Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong:
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. ICLR 2024 - [c41]Yi-Fu Wu, Minseung Lee, Sungjin Ahn:
Neural Language of Thought Models. ICLR 2024 - [c40]Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn:
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. ICML 2024 - [c39]Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn:
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming. ICML 2024 - [c38]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Slot Binding for Videos. ICML 2024 - [i40]Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre
, Sungjin Ahn:
Simple Hierarchical Planning with Diffusion. CoRR abs/2401.02644 (2024) - [i39]Yi-Fu Wu, Minseung Lee, Sungjin Ahn:
Structured World Modeling via Semantic Vector Quantization. CoRR abs/2402.01203 (2024) - [i38]Junmo Cho, Jaesik Yoon, Sungjin Ahn:
Spatially-Aware Transformer for Embodied Agents. CoRR abs/2402.15160 (2024) - [i37]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Binding. CoRR abs/2402.17077 (2024) - [i36]Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn:
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming. CoRR abs/2402.18866 (2024) - [i35]Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong:
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. CoRR abs/2405.00646 (2024) - [i34]Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn:
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. CoRR abs/2406.06793 (2024) - [i33]Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn:
Slot State Space Models. CoRR abs/2406.12272 (2024) - 2023
- [j2]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): 856-869 (2023) - [c37]Gautam Singh, Yeongbin Kim, Sungjin Ahn:
Neural Systematic Binder. ICLR 2023 - [c36]Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn:
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning. ICML 2023: 40147-40174 - [c35]Fei Deng, Junyeong Park, Sungjin Ahn:
Facing Off World Model Backbones: RNNs, Transformers, and S4. NeurIPS 2023 - [c34]Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn:
Object-Centric Slot Diffusion. NeurIPS 2023 - [c33]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 - [c32]Yi-Fu Wu, Minseung Lee, Sungjin Ahn:
Object-Centric Semantic Vector Quantization. UniReps 2023: 249-266 - [i32]Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn:
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning. CoRR abs/2302.04419 (2023) - [i31]Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn:
Object-Centric Slot Diffusion. CoRR abs/2303.10834 (2023) - [i30]Fei Deng, Junyeong Park, Sungjin Ahn:
Facing off World Model Backbones: RNNs, Transformers, and S4. CoRR abs/2307.02064 (2023) - [i29]Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn:
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. CoRR abs/2311.09064 (2023) - 2022
- [c31]Gautam Singh, Fei Deng, Sungjin Ahn:
Illiterate DALL-E Learns to Compose. ICLR 2022 - [c30]Fei Deng, Ingook Jang, Sungjin Ahn:
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. ICML 2022: 4956-4975 - [c29]Gautam Singh, Yi-Fu Wu, Sungjin Ahn:
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. NeurIPS 2022 - [i28]Chang Chen, Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn:
TransDreamer: Reinforcement Learning with Transformer World Models. CoRR abs/2202.09481 (2022) - [i27]Gautam Singh, Yi-Fu Wu, Sungjin Ahn:
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. CoRR abs/2205.14065 (2022) - [i26]Gautam Singh, Yeongbin Kim, Sungjin Ahn:
Neural Block-Slot Representations. CoRR abs/2211.01177 (2022) - 2021
- [j1]Chang Chen, Fei Deng, Sungjin Ahn:
ROOTS: Object-Centric Representation and Rendering of 3D Scenes. J. Mach. Learn. Res. 22: 259:1-259:36 (2021) - [c28]Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn:
Generative Scene Graph Networks. ICLR 2021 - [c27]Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn:
Structured World Belief for Reinforcement Learning in POMDP. ICML 2021: 9744-9755 - [c26]Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn:
Generative Video Transformer: Can Objects be the Words? ICML 2021: 11307-11318 - [i25]Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn:
Structured World Belief for Reinforcement Learning in POMDP. CoRR abs/2107.08577 (2021) - [i24]Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn:
Generative Video Transformer: Can Objects be the Words? CoRR abs/2107.09240 (2021) - [i23]Gautam Singh, Fei Deng, Sungjin Ahn:
Illiterate DALL-E Learns to Compose. CoRR abs/2110.11405 (2021) - [i22]Fei Deng, Ingook Jang, Sungjin Ahn:
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. CoRR abs/2110.14565 (2021) - 2020
- [c25]Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn:
SCALOR: Generative World Models with Scalable Object Representations. ICLR 2020 - [c24]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 - [c23]Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn:
Improving Generative Imagination in Object-Centric World Models. ICML 2020: 6140-6149 - [c22]Jaesik Yoon, Gautam Singh, Sungjin Ahn:
Robustifying Sequential Neural Processes. ICML 2020: 10861-10870 - [c21]Jindong Jiang, Sungjin Ahn:
Generative Neurosymbolic Machines. NeurIPS 2020 - [i21]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 abs/2001.02407 (2020) - [i20]Chang Chen, Fei Deng, Sungjin Ahn:
Learning to Infer 3D Object Models from Images. CoRR abs/2006.06130 (2020) - [i19]Jaesik Yoon, Gautam Singh, Sungjin Ahn:
Robustifying Sequential Neural Processes. CoRR abs/2006.15987 (2020) - [i18]Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn:
Improving Generative Imagination in Object-Centric World Models. CoRR abs/2010.02054 (2020) - [i17]Jindong Jiang, Sungjin Ahn:
Generative Neurosymbolic Machines. CoRR abs/2010.12152 (2020)
2010 – 2019
- 2019
- [c20]Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Domain-Adaptive Single-View 3D Reconstruction. ICCV 2019: 7637-7646 - [c19]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. NeurIPS 2019: 8994-9004 - [c18]Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn:
Sequential Neural Processes. NeurIPS 2019: 10254-10264 - [c17]Taesup Kim, Sungjin Ahn, Yoshua Bengio:
Variational Temporal Abstraction. NeurIPS 2019: 11566-11575 - [i16]Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro:
Reinforced Imitation in Heterogeneous Action Space. CoRR abs/1904.03438 (2019) - [i15]Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn:
Sequential Neural Processes. CoRR abs/1906.10264 (2019) - [i14]Taesup Kim, Sungjin Ahn, Yoshua Bengio:
Variational Temporal Abstraction. CoRR abs/1910.00775 (2019) - [i13]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. CoRR abs/1910.02344 (2019) - [i12]Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn:
Scalable Object-Oriented Sequential Generative Models. CoRR abs/1910.02384 (2019) - [i11]Fei Deng, Zhuo Zhi, Sungjin Ahn:
Generative Hierarchical Models for Parts, Objects, and Scenes. CoRR abs/1910.09119 (2019) - 2018
- [c16]Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn:
Bayesian Model-Agnostic Meta-Learning. NeurIPS 2018: 7343-7353 - [i10]Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn:
Bayesian Model-Agnostic Meta-Learning. CoRR abs/1806.03836 (2018) - [i9]Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Learning Single-View 3D Reconstruction with Adversarial Training. CoRR abs/1812.01742 (2018) - 2017
- [c15]Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio:
Denoising Criterion for Variational Auto-Encoding Framework. AAAI 2017: 2059-2065 - [c14]Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park:
SENA: Preserving Social Structure for Network Embedding. HT 2017: 235-244 - [c13]Junyoung Chung, Sungjin Ahn, Yoshua Bengio:
Hierarchical Multiscale Recurrent Neural Networks. ICLR (Poster) 2017 - 2016
- [c12]Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio:
Pointing the Unknown Words. ACL (1) 2016 - [c11]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 - [c10]Wenzhe Li, Sungjin Ahn, Max Welling:
Scalable MCMC for Mixed Membership Stochastic Blockmodels. AISTATS 2016: 723-731 - [c9]Ismail El-Helw, Rutger F. H. Hofman, Wenzhe Li, Sungjin Ahn, Max Welling, Henri E. Bal:
Scalable Overlapping Community Detection. IPDPS Workshops 2016: 1463-1472 - [i8]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 abs/1603.06807 (2016) - [i7]Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio:
Pointing the Unknown Words. CoRR abs/1603.08148 (2016) - [i6]Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio:
Hierarchical Memory Networks. CoRR abs/1605.07427 (2016) - [i5]Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, Yoshua Bengio:
A Neural Knowledge Language Model. CoRR abs/1608.00318 (2016) - [i4]Junyoung Chung, Sungjin Ahn, Yoshua Bengio:
Hierarchical Multiscale Recurrent Neural Networks. CoRR abs/1609.01704 (2016) - 2015
- [c8]Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. KDD 2015: 9-18 - [i3]Sungjin Ahn, Anoop Korattikara Balan, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. CoRR abs/1503.01596 (2015) - [i2]Wenzhe Li, Sungjin Ahn, Max Welling:
Scalable MCMC for Mixed Membership Stochastic Blockmodels. CoRR abs/1510.04815 (2015) - [i1]Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio:
Denoising Criterion for Variational Auto-Encoding Framework. CoRR abs/1511.06406 (2015) - 2014
- [c7]Sungjin Ahn, Babak Shahbaba, Max Welling:
Distributed Stochastic Gradient MCMC. ICML 2014: 1044-1052 - 2013
- [c6]Sungjin Ahn, Yutian Chen, Max Welling:
Distributed and Adaptive Darting Monte Carlo through Regenerations. AISTATS 2013: 108-116 - 2012
- [c5]Sungjin Ahn, Anoop Korattikara Balan, Max Welling:
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring. ICML 2012
2000 – 2009
- 2008
- [c4]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: 615-620 - 2007
- [c3]Jihoon Kang, Daeyoung Kim, Sungjin Ahn:
Mosaic Localization for Wireless Sensor Networks. WCNC 2007: 3924-3928 - 2006
- [c2]Sungjin Ahn, Daeyoung Kim:
Proactive Context-Aware Sensor Networks. EWSN 2006: 38-53 - 2005
- [c1]Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park:
Power-Aware Position Vector Routing for Wireless Sensor Networks. EUC Workshops 2005: 1148-1156
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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