Publications

2026

1. Ph.D. Thesis

   Two Theoretical Advances in Generative Models: minimax optimization methods with improved convergence and provable benign overfitting

   Jiseok Chae

   2026

   Bib

   @phdthesis{Chae26,
     author = {Chae, Jiseok},
     title = {Two Theoretical Advances in Generative Models: minimax optimization methods with improved convergence and provable benign overfitting},
     school = {KAIST},
     year = {2026},
     type = {Ph.D. thesis}
   }

2. ACM

   Optoelectronic Synaptic Transistors Based on Colloidal CdSe Nanowires for Energy-Efficient Neuromorphic Computing

   Woosik Kim, Jiseok Chae, Taesung Park, Hanseok Seo, Hyung Jin Choi, and 3 more authors

   ACS Applied Materials & Interfaces, 2026

   Bib HTML

   @article{Kim26,
     author = {Kim, Woosik and Chae, Jiseok and Park, Taesung and Seo, Hanseok and Choi, Hyung Jin and Jung, Byung Ku and Lim, Seungshin and Oh, Soong Ju},
     title = {Optoelectronic Synaptic Transistors Based on Colloidal CdSe Nanowires for Energy-Efficient Neuromorphic Computing},
     journal = {ACS Applied Materials \& Interfaces},
     volume = {18},
     number = {5},
     pages = {8610-8621},
     year = {2026}
   }

2025

1. ICML Workshop

   Rethinking Memorization–Generalization Trade-Off in Generative Models

   Jiseok Chae^*, Kyuwon Kim^*, and Donghwan Kim

   ^* Equal contribution.

   In 3rd Workshop on High-dimensional Learning Dynamics, ICML 2025, 2025

   Bib

   @inproceedings{Chae25,
     title = {Rethinking Memorization--Generalization Trade-Off in Generative Models},
     author = {Chae, Jiseok and Kim, Kyuwon and Kim, Donghwan},
     booktitle = {3rd Workshop on High-dimensional Learning Dynamics, ICML 2025},
     year = {2025},
   }

2024

1. NeurIPS

   Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements

   Jiseok Chae, Chulhee Yun, and Donghwan Kim

   The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

   arXiv Bib HTML

   @article{Chae24SEG,
     title = {Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements},
     author = {Chae, Jiseok and Yun, Chulhee and Kim, Donghwan},
     journal = {The Thirty-eighth Annual Conference on Neural Information Processing Systems},
     year = {2024},
   }

2. ICLR

   Two-timescale Extragradient for Finding Local Minimax Points

   Jiseok Chae, Kyuwon Kim, and Donghwan Kim

   The Twelfth International Conference on Learning Representations, 2024

   arXiv Bib

   @article{Chae24two,
     title = {Two-timescale Extragradient for Finding Local Minimax Points},
     author = {Chae, Jiseok and Kim, Kyuwon and Kim, Donghwan},
     journal = {The Twelfth International Conference on Learning Representations},
     year = {2024},
   }

3. TDSC

   HEaaN-STAT: a privacy-preserving statistical analysis toolkit for large-scale numerical, ordinal, and categorical data

   Younho Lee, Jinyeong Seo, Yujin Nam, Jiseok Chae, and Jung Hee Cheon

   IEEE Transactions on Dependable and Secure Computing, 2024

   Bib HTML

   @article{Lee24,
     title = {HEaaN-STAT: a privacy-preserving statistical analysis toolkit for large-scale numerical, ordinal, and categorical data},
     author = {Lee, Younho and Seo, Jinyeong and Nam, Yujin and Chae, Jiseok and Cheon, Jung Hee},
     journal = {IEEE Transactions on Dependable and Secure Computing},
     volume = {21},
     number = {3},
     pages = {1224--1241},
     year = {2024},
   }

2023

1. COLT

   Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima?

   Jiseok Chae, Kyuwon Kim, and Donghwan Kim

   In The Thirty Sixth Annual Conference on Learning Theory, 2023

   Bib HTML

   @inproceedings{Chae23,
     title = {Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima?},
     author = {Chae, Jiseok and Kim, Kyuwon and Kim, Donghwan},
     booktitle = {The Thirty Sixth Annual Conference on Learning Theory},
     pages = {5957--5964},
     year = {2023},
     organization = {PMLR}
   }