Ko, Joohwan

9 publications

LoG 2025 Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks Minho Lee, Yun Young Choi, Sun Woo Park, Seunghwan Lee, Joohwan Ko, Jaeyoung Hong

ICLRW 2025 Learning Multiphase and Multiphysics System with Decoupled State Space Model Yun Young Choi, Seunghwan Lee, Minho Lee, Lee JinHaeng, Joohwan Ko, Chanwoong Moon

NeurIPS 2025 Model-Informed Flows for Bayesian Inference Joohwan Ko, Justin Domke

ICML 2024 Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner

NeurIPS 2024 Layer-Adaptive State Pruning for Deep State Space Models Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park

ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woo Chang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio

ICML 2024 Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko, Kyurae Kim, Woo Chang Kim, Jacob R. Gardner

NeurIPSW 2023 Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woo Chang Kim, Jinkyoo Park, Yoshua Bengio

ICLRW 2023 Multilevel Approach to Efficient Gradient Calculation in Stochastic Systems Joohwan Ko, Michael Poli, Stefano Massaroli, Woo Chang Kim