Jaesik Yoon

According to our database, Jaesik Yoon authored at least 20 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Inference-Time Scaling in Diffusion Models through Iterative Partial Refinement.

Taegu Kang, Jaesik Yoon, Sungjin Ahn

CoRR, May, 2026

2025

Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall.

Mingyu Jo, Jaesik Yoon, Justin Deschenaux, Caglar Gulcehre, Sungjin Ahn

CoRR, October, 2025

Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning.

Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio, Sungjin Ahn

CoRR, June, 2025

Adaptive Cyclic Diffusion for Inference Scaling.

Gyubin Lee, Truong Nhat Nguyen Bao, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn

CoRR, May, 2025

Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning.

Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Compositional Monte Carlo Tree Diffusion for Extendable Planning.

Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Monte Carlo Tree Diffusion for System 2 Planning.

Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Spatially-Aware Transformer for Embodied Agents.

Junmo Cho, Jaesik Yoon, Sungjin Ahn

CoRR, 2024

Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming.

Hany Hamed, Subin Kim, Dongyeong Kim, Jaesik Yoon, Sungjin Ahn

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Spatially-Aware Transformers for Embodied Agents.

Junmo Cho, Jaesik Yoon, Sungjin Ahn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning.

Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn

Proceedings of the International Conference on Machine Learning, 2023

2022

TransDreamer: Reinforcement Learning with Transformer World Models.

Chang Chen, Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn

CoRR, 2022

2021

Generative Video Transformer: Can Objects be the Words?

Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Robustifying Sequential Neural Processes.

Jaesik Yoon, Gautam Singh, Sungjin Ahn

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

One-Shot Learning for Text-to-SQL Generation.

Dongjun Lee, Jaesik Yoon, Jongyun Song, Sang-gil Lee, Sungroh Yoon

CoRR, 2019

Sequential Neural Processes.

Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Enhanced Gas-Sensing Performance of GO/TiO₂ Composite by Photocatalysis.

Eunji Lee, Doo-Hee Lee, Jaesik Yoon, Yilin Yin, You-Na Lee, Sunil Uprety, Young Soo Yoon, Dong-Joo Kim

Sensors, 2018

Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA.

Jaekoo Lee, Byunghan Lee, Jongyoon Song, Jaesik Yoon, Yongsik Lee, Donghun Lee, Sungroh Yoon

CoRR, 2018

Bayesian Model-Agnostic Meta-Learning.

Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

A hierarchical-structured dictionary learning for image classification.

Jaesik Yoon, Jinho Choi, Chang D. Yoo

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014