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Basics

Name Jaesik Yoon
Label ML Developer & Ph.D. Student
Email mail@jaesikyoon.com
Url https://jaesikyoon.com
Summary Machine Learning Developer at SAP and Ph.D. student at KAIST School of Computing. Research interests in diverse inductive biases to extend the generality of AI.

Work

Education

  • 2023.08 - 2026.12

    Daejeon, South Korea

    Ph.D.
    KAIST, School of Computing
    Computer Science
  • 2020.09 - 2022.02

    New Jersey, USA

    Ph.D. Candidate (Transferred)
    Rutgers University, Computer Science
    Computer Science
  • 2012.03 - 2014.08

    Daejeon, South Korea

    M.S.
    KAIST, Electrical Engineering
    Electrical Engineering
  • 2006.03 - 2010.02

    Seoul, South Korea

    B.S. (Summa Cum Laude)
    Hanyang University, Media and Communication Engineering
    Media and Communication Engineering

Awards

  • 2025.07.01
    Spotlight
    ICML 2025
    Monte Carlo Tree Diffusion for System 2 Planning
  • 2025.12.01
    Spotlight
    NeurIPS 2025
    Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning
  • 2025.12.01
    Spotlight
    NeurIPS 2025
    Compositional Monte Carlo Tree Diffusion for Extendable Planning
  • 2024.05.01
    Spotlight
    ICLR 2024
    Spatially-Aware Transformers for Embodied Agents
  • 2019.12.01
    Spotlight
    NeurIPS 2019
    Sequential Neural Processes
  • 2018.12.01
    Spotlight
    NeurIPS 2018
    Bayesian Model-Agnostic Meta-Learning
  • 2014.10.01
    Oral Presentation
    ICIP 2014
    A Hierarchical-Structured Dictionary Learning for Image Classification
  • 2010.02.01
    Summa Cum Laude
    Hanyang University

Skills

Research Areas
Machine Learning
Deep Generative Models
Diffusion Models
Meta-Learning
Neural Processes
Object-Centric Learning
Reinforcement Learning

Languages

Korean
Native speaker
English
Fluent

Interests

AI Research
Inductive Biases for Generality
System 2 Planning
Monte Carlo Tree Search
World Models