Joohwan Ko

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 5

Top Topics

Doubly Stochastic

Variational Inference

Learning Systems

Top Venues

Publications

Joohwan Ko, Kyurae Kim, Woochang Kim, Jacob R. Gardner
Provably Scalable Black-Box Variational Inference with Structured Variational Families. CoRR (2024)
Yun Young Choi, Minho Lee, Sun Woo Park, Seunghwan Lee, Joohwan Ko
A Gated MLP Architecture for Learning Topological Dependencies in Spatio-Temporal Graphs. CoRR (2024)
Kyurae Kim, Joohwan Ko, Yi-An Ma, Jacob R. Gardner
Demystifying SGD with Doubly Stochastic Gradients. CoRR (2024)
Joohwan Ko, Andrew A. Li
Modeling Choice via Self-Attention. CoRR (2023)
Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio
Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR (2023)