Browse "School of Computing(전산학부)" by Author Ahn, Sungjin
Showing results 1 to 16 of 16
| (A) study on visual systematic generalization via one-step image generation world model = 이미지 생성 월드모델을 통한 시각정보의 체계적 일반화 연구link Kim, Yeongbin; 김영빈; et al, 한국과학기술원, 2024 |
| An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning Yoon, Jaesik; Wu, Yi-Fu; Bae, Heechul; Ahn, Sungjin, The Fortieth International Conference on Machine Learning, ICML2023, pp.40147 - 40174, The International Conference on Machine Learning, 2023-07-27 |
| DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Deng, Fei; Ahn, Sungjin; Jang, Ingook, Thirty-ninth International Conference on Machine Learning, ICML 2022, The International Conference on Machine Learning (ICML), 2022-07-17 |
| Facing Off World Model Backbones: RNNs, Transformers, and S4 Deng, Fei; Park, Junyeong; Ahn, Sungjin, The Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, The Conference on Neural Information Processing Systems, 2023-12-12 |
| Illiterate DALL-E Learns to Compose Singh, Gautam; Ahn, Sungjin; Deng, Fei, The Tenth International Conference on Learning Representations, ICLR2022, The International Conference on Learning Representations (ICLR), 2022-04-25 |
| Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models Kim, Yeongbin; Singh, Gautam; Park, Junyeong; Gulcehre, Caglar; Ahn, Sungjin, The Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, The Conference on Neural Information Processing Systems, 2023-12-14 |
| Learning to Compose: Improving Object Centric Learning by Injecting Compositionality Jung, Whie; Yoo, Jaehoon; Ahn, Sungjin; Hong, Seunghoon, The Twelfth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2024-05-07 |
| Neural Language of Thought Models Wu, Yi-Fu; Lee, Minseng; Ahn, Sungjin, The Twelfth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2024-05-07 |
| Neural Systematic Binder Singh, Gautam; Ahn, Sungjin; Kim, Yeongbin, The Eleventh International Conference on Learning Representations, ICLR2023, The International Conference on Learning Representations (ICLR), 2023-05-01 |
| Object-Centric Slot Diffusion Jiang, Jindong; Deng, Fei; Singh, Gautam; Ahn, Sungjin, The Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, The Conference on Neural Information Processing Systems, 2023-12-14 |
| Parallelized Spatiotemporal Slot Binding for Videos Singh, Gautam; Wang, Yue; Yang, Jiawei; Ivanovic, Boris; Ahn, Sungjin; Pavone, Marco; Che, Tong, The Forty-first International Conference on Machine Learning, The International Conference on Machine Learning (ICML), 2024-07-25 |
| PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer Chen, Chang; Baek, Junyeob; Deng, Fei; Kawaguchi, Kenji; Gulcehre, Caglar; Ahn, Sungjin, The Forty-first International Conference on Machine Learning, The International Conference on Machine Learning (ICML), 2024-07-24 |
| Proactive Context-Aware Sensor Networks Ahn, Sungjin; Kim, Daeyoung, Wireless Sensor Networks, Vol.3868, pp.38-53, 2006 |
| Simple Hierarchical Planning with Diffusion Chen, Chang; Deng, Fei; Kawaguchi, Kenji; Gulcehre, Caglar; Ahn, Sungjin, The Twelfth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2024-05-10 |
| Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Singh, Gautam; Ahn, Sungjin; Wu, Yi-Fu, 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), The Conference and Workshop on Neural Information Processing Systems (NeurIPS), 2022-11-28 |
| Spatially-Aware Transformers for Embodied Agents Cho, Junmo; Yoon, Jasik; Ahn, Sungjin, The Twelfth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2024-05-09 |
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