publications

2025

  1. Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
    Mingyu Jo, Jaesik Yoon, Justin Deschenaux, and 2 more authors
    2025
    Page PDF
  2. Compositional Monte Carlo Tree Diffusion for Extendable Planning
    Jaesik Yoon, Hyeonseo Cho, and Sungjin Ahn
    Advances in Neural Information Processing Systems, 2025
    Spotlight (top 3.2% of submissions)
    Page PDF
  3. Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning
    Jaesik Yoon*, Hyeonseo Cho*, Yoshua Bengio, and 1 more author
    Advances in Neural Information Processing Systems, 2025
    *Equal contribution, Spotlight (top 3.2% of submissions)
    Page PDF Code
  4. Adaptive Cyclic Diffusion for Inference Scaling
    Gyubin Lee, Truong Nhat Nguyen Bao, Jaesik Yoon, and 4 more authors
    Advances in Neural Information Processing Systems, 2025
    Page PDF
  5. Monte Carlo Tree Diffusion for System 2 Planning
    Jaesik Yoon, Hyeonseo Cho, Doojin Baek, and 2 more authors
    In International Conference on Machine Learning, 2025
    Spotlight (top 2.6% of submissions)
    Page PDF Code

2024

  1. Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
    Hany Hamed, Subin Kim, Dongyeong Kim, and 2 more authors
    In International Conference on Machine Learning, 2024
    Page PDF Code
  2. Spatially-Aware Transformers for Embodied Agents
    Junmo Cho*, Jaesik Yoon*, and Sungjin Ahn
    In International Conference on Learning Representations, 2024
    *Equal contribution, Spotlight (top 5% of submissions)
    Page PDF Code

2023

  1. An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
    Jaesik Yoon, Yi-Fu Wu, Heechul Bae, and 1 more author
    In International Conference on Machine Learning, 2023
    Page PDF Code

2021

  1. TransDreamer: Reinforcement Learning with Transformer World Models
    Chang Chen*, Yi-Fu Wu*, Jaesik Yoon*, and 1 more author
    In Deep RL Workshop NeurIPS, 2021
    * Equal contribution
    PDF Code
  2. Generative video transformer: Can objects be the words?
    Yi-Fu Wu, Jaesik Yoon, and Sungjin Ahn
    In International Conference on Machine Learning, 2021
    PDF Code

2020

  1. Robustifying sequential neural processes
    Jaesik Yoon, Gautam Singh, and Sungjin Ahn
    In International Conference on Machine Learning, 2020
    PDF Code

2019

  1. One-shot learning for text-to-sql generation
    Dongjun Lee, Jaesik Yoon, Jongyun Song, and 2 more authors
    arXiv preprint arXiv:1905.11499, 2019
    PDF
  2. Sequential neural processes
    Gautam Singh*, Jaesik Yoon*, Youngsung Son, and 1 more author
    Advances in Neural Information Processing Systems, 2019
    * Equal contribution, Spotlight (top 2% of submissions)
    Page PDF Code

2018

  1. Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA
    Jaekoo Lee, Byunghan Lee, Jongyoon Song, and 4 more authors
    arXiv preprint arXiv:1804.05497, 2018
  2. Bayesian model-agnostic meta-learning
    Jaesik Yoon*, Taesup Kim*, Ousmane Dia, and 3 more authors
    Advances in neural information processing systems, 2018
    * Equal contribution, Spotlight (top 3% of submissions)
    PDF Code

2014

  1. A hierarchical-structured dictionary learning for image classification
    Jaesik Yoon, Jinho Choi, and Chang D Yoo
    In International Conference on Image Processing, 2014
    Oral
    PDF

2012

  1. Dictionary learning for dark image enhancement
    Jaesik Yoon, Yuna Seo, Jungyu Kang, and 1 more author
    In International Conference on Ubiquitous Robots and Ambient Intelligence, 2012
    PDF