Joohwan Ko

According to our database, Joohwan Ko authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Gated MLP Architecture for Learning Topological Dependencies in Spatio-Temporal Graphs.

Yun Young Choi, Minho Lee, Sun Woo Park, Seunghwan Lee, Joohwan Ko

CoRR, 2024

Provably Scalable Black-Box Variational Inference with Structured Variational Families.

Joohwan Ko, Kyurae Kim, Woochang Kim, Jacob R. Gardner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Demystifying SGD with Doubly Stochastic Gradients.

Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Modeling Choice via Self-Attention.

Joohwan Ko, Andrew A. Li

CoRR, 2023

Learning to Scale Logits for Temperature-Conditional GFlowNets.

Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio

CoRR, 2023