Jaesik Yoon

25 papers A* 8B 1Journal 16
YearRankTypeTitle / Venue / Authors
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
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
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 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
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
2022 J jnl
TransDreamer: Reinforcement Learning with Transformer World Models.
CoRR
Chang Chen, Yi-Fu Wu, Jaesik Yoon, 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
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
2019 J jnl
One-Shot Learning for Text-to-SQL Generation.
CoRR
Dongjun Lee, Jaesik Yoon, Jongyun Song, Sang-gil Lee, Sungroh Yoon
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
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
Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA.
CoRR
Jaekoo Lee, Byunghan Lee, Jongyoon Song, Jaesik Yoon, Yongsik Lee, Donghun Lee, Sungroh Yoon
2018 J jnl
Enhanced Gas-Sensing Performance of GO/TiO
Sensors
Eunji Lee, Doo-Hee Lee, Jaesik Yoon, Yilin Yin, You-Na Lee, Sunil Uprety, Young Soo Yoon, Dong-Joo Kim
2014 B conf
A hierarchical-structured dictionary learning for image classification.
ICIP
Jaesik Yoon, Jinho Choi, Chang D. Yoo