Joohwan Ko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
2
Active years
2024–2025
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | Learnable Orthogonal Decomposition for Non-Regressive Prediction for PDE. | Yun Young Choi, Kyujin Han, Joohwan Ko, Sangwook Baek, Seunghwan Lee |
| 2024 | ICML | Demystifying SGD with Doubly Stochastic Gradients. | Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner |
| 2024 | ICML | Learning to Scale Logits for Temperature-Conditional GFlowNets. | Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio |
| 2024 | ICML | Provably Scalable Black-Box Variational Inference with Structured Variational Families. | Joohwan Ko, Kyurae Kim, Woochang Kim, Jacob R. Gardner |