cv
Latest update - 10.10.2024.
Basics
Name | Sehyun Kwon |
Label | Ph.D. Student |
kagok@snu.ac.kr | |
Url | https://sehyunkwon.github.io/ |
Interests
Foundation Models | |
Vision Language Models | |
Large Language Models |
Vision | |
Clustering | |
Retrieval |
Generative Models | |
Diffusion models | |
Variational Autoencoders |
Publications
-
2024.10 -
2024.01 Image Clustering Conditioned on Text Criteria
International Conference on Learning Representations
Vision Language Model, Large Language Model, Clustering
-
2023 Diffusion Probabilistic Models Generalize when They Fail to Memorize
ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling
Diffusion Models, Generalization, Memorization
-
2023 Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
International Conference on Machine Learning
Representation Learning, Implicit Neural Representations, Clustering
-
2021 WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
International Conference on Machine Learning
Generative adversarial networks, Infinitely Large Networks, Theory
Education
Experience
- 24.06 - 24.11
- 23.06 - 24.01
- 16.05 - 18.02
Awards
- 2024
Youlchon AI STAR
Youlchon & SNU AIIS
- 2023
Samsung DS excellent paper award
Samsung DS
- 2023
Best poster awards
SNU Artificial Intelligence Institute
- Fall, 2021
Outstanding TA award
Department of Mathematical Sciences
I received the Outstanding TA Award for my work for the Mathematical Foundations of Deep Neural Networks course in Fall 2021.
Teaching assistant
- 2024
Generative AI and Foundation Models
Seoul National University
- 2021, 2023, 2024
Mathematical Foundations of Deep Neural Networks
Seoul National University
- 2021
Mathematical Algorithms 1 (Graduate)
Seoul National University
- 2020
Calculus
Seoul National University
Languages
Korean | |
Native speaker |
English | |
Fluent |