About

I am a Ph.D. student of Mathematical Sciences at Seoul National University, advised by Ernest K. Ryu (currently at UCLA), and deep learning engineer at KRAFTON AI. My current interest is in generative models, especially diffusion probabilistic models and large language models.

lthilnklover@snu.ac.kr / choijy0402@gmail.com

Publications

Task Diversity Shortens the ICL Plateau Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu. Manuscript

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu. TMLR 2024

LoRA can Replace Time and Class Embeddings in Diffusion Probabilistic Models Joo Young Choi, Jaesung Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu. NeurIPS 2023 Workshop on Diffusion Models

Diffusion Probabilistic Models Generalize when They Fail to Memorize TaeHo Yoon, Joo Young Choi, Sehyun Kwon, Ernest K. Ryu. ICML 2023 Workshop SPIGM

Rotation and Translation Invariant Representation Learning with Implicit Neural Representations Sehyun Kwon, Joo Young Choi, Ernest K. Ryu. ICML 2023

Neural Tangent Kernel Analysis of Deep Narrow Neural Networks Jongmin Lee, Joo Young Choi, Ernest K. Ryu, Albert No. ICML 2022

Education

Seoul National University (September 2018 - Feburary 2025 (expected))
Ph.D in Mathematical Sciences

Korea University (March 2012 - August 2018)
B.S in Business Administration
B.S in Mathematics

Experience

KRAFTON AI (October 2024 -)
Deep Learning Engineer, Art Research DL Team

Seoul National University
Teaching Assistant, Department of Mathematical Sciences

Topics in Machine Intelligence: Generative AI and Foundation Models, M3309.001800, Spring 2024.
Mathematical Foundations of Deep Neural Networks, M1407.001200, Fall 2022. Outstanding TA Award
Topics in Applied Mathematics: Infinitely Large Neural Networks, 3341.751, Spring 2022.
Mathematical Foundations of Deep Neural Networks, M1407.001200, Fall 2021.