Maya Okawa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
5
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | ICLR: In-Context Learning of Representations. | Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka |
| 2025 | ICLR | Swing-by Dynamics in Concept Learning and Compositional Generalization. | Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka |
| 2025 | ICML | Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing. | Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana |
| 2024 | ICML | Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. | Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka |
| 2022 | KDD | Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. | Maya Okawa, Tomoharu Iwata |
| 2021 | KDD | Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. | Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima |
| 2019 | AAAI | Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. | Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda |
| 2019 | KDD | Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. | Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda |
| 2017 | MDM | Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression. | Maya Okawa, Hideaki Kim, Hiroyuki Toda |