Joohwan Ko

15 papers A* 4A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Latent Target Score Matching, with an application to Simulation-Based Inference.
CoRR
Joohwan Ko, Tomas Geffner
2025 A conf
Learnable Orthogonal Decomposition for Non-Regressive Prediction for PDE.
CIKM
Yun Young Choi, Kyujin Han, Joohwan Ko, Sangwook Baek, Seunghwan Lee
2025 J jnl
Model Informed Flows for Bayesian Inference of Probabilistic Programs.
CoRR
Joohwan Ko, Justin Domke
2025 J jnl
Relaxed Sequence Sampling for Diverse Protein Design.
CoRR
Joohwan Ko, Aristofanis Rontogiannis, Yih-En Andrew Ban, Axel Elaldi, Nicholas T. Franklin
2024 J jnl
A Gated MLP Architecture for Learning Topological Dependencies in Spatio-Temporal Graphs.
CoRR
Yun Young Choi, Minho Lee, Sun Woo Park, Seunghwan Lee, Joohwan Ko
2024 A* conf
Demystifying SGD with Doubly Stochastic Gradients.
ICML
Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner
2024 J jnl
Demystifying SGD with Doubly Stochastic Gradients.
CoRR
Kyurae Kim, Joohwan Ko, Yi-An Ma, Jacob R. Gardner
2024 — conf
Enhancing Topological Dependencies in Spatio-Temporal Graphs With Cycle Message Passing Blocks.
LoG
Minho Lee, Yun Young Choi, Sun Woo Park, Seunghwan Lee, Joohwan Ko, Jaeyoung Hong
2024 A* conf
Layer-Adaptive State Pruning for Deep State Space Models.
NeurIPS
Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park
2024 J jnl
Layer-Adaptive State Pruning for Deep State Space Models.
CoRR
Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park
2024 A* conf
Learning to Scale Logits for Temperature-Conditional GFlowNets.
ICML
Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio
2024 A* conf
Provably Scalable Black-Box Variational Inference with Structured Variational Families.
ICML
Joohwan Ko, Kyurae Kim, Woochang Kim, Jacob R. Gardner
2024 J jnl
Provably Scalable Black-Box Variational Inference with Structured Variational Families.
CoRR
Joohwan Ko, Kyurae Kim, Woochang Kim, Jacob R. Gardner
2023 J jnl
Learning to Scale Logits for Temperature-Conditional GFlowNets.
CoRR
Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio
2023 J jnl
Modeling Choice via Self-Attention.
CoRR
Joohwan Ko, Andrew A. Li