Ryu, Ernest K.

24 publications

TMLR 2025 Deflated Dynamics Value Iteration Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand

ICLR 2025 Encryption-Friendly LLM Architecture Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Ernest K. Ryu, Jung Hee Cheon

NeurIPS 2025 Finite-Time Bounds for Average-Reward Fitted Q-Iteration Jongmin Lee, Ernest K. Ryu

ICML 2025 LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But It Probably Won’t Fail) Junsu Kim, Jaeyeon Kim, Ernest K. Ryu

ICLR 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes Jongmin Lee, Ernest K. Ryu

TMLR 2025 Task Diversity Shortens the In-Context Learning Plateau Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu

NeurIPSW 2024 Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models Hyunsik Chae, Seungwoo Yoon, Chloe Yewon Chun, Gyehun Go, Yongin Cho, Gyeongmin Lee, Ernest K. Ryu

NeurIPS 2024 Gradient-Free Decoder Inversion in Latent Diffusion Models Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun

ICLR 2024 Image Clustering Conditioned on Text Criteria Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee

ICML 2024 LoRA Training in the NTK Regime Has No Spurious Local Minima Uijeong Jang, Jason D. Lee, Ernest K. Ryu

ICML 2024 Optimal Acceleration for Minimax and Fixed-Point Problems Is Not Unique Taeho Yoon, Jaeyeon Kim, Jaewook J. Suh, Ernest K. Ryu

JMLR 2024 Optimal First-Order Algorithms as a Function of Inequalities Chanwoo Park, Ernest K. Ryu

NeurIPS 2024 Optimization Algorithm Design via Electric Circuits Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh

TMLR 2024 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

ICML 2023 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations Jisun Park, Ernest K. Ryu

ICMLW 2023 Diffusion Probabilistic Models Generalize When They Fail to Memorize TaeHo Yoon, Joo Young Choi, Sehyun Kwon, Ernest K. Ryu

NeurIPSW 2023 Image Clustering Conditioned on Text Criteria Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee

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

AISTATS 2022 Robust Probabilistic Time Series Forecasting Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang

ICML 2022 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems Jaewook J Suh, Gyumin Roh, Ernest K Ryu

ICML 2022 Exact Optimal Accelerated Complexity for Fixed-Point Iterations Jisun Park, Ernest K Ryu

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

ICML 2021 Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm Taeho Yoon, Ernest K Ryu

ICML 2021 WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points Albert No, Taeho Yoon, Kwon Sehyun, Ernest K Ryu