About

I am a Ph.D. student of Mathematical Sciences at Seoul National University, advised by Professor Ernest K. Ryu. My current interest is in generative models, especially diffusion probabilistic models and large language models.

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

Publications

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. Manuscript

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 - )
Ph.D in Mathematical Sciences

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

Experience

Teaching Assistant (Seoul National University)

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.