Maya Okawa

According to our database, Maya Okawa authored at least 20 papers between 2015 and 2025.

Collaborative distances:

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

2025

Emergence of Hierarchical Emotion Organization in Large Language Models.

Bo Zhao, Maya Okawa, Eric J. Bigelow, Rose Yu, Tomer D. Ullman, Ekdeep Singh Lubana, Hidenori Tanaka

CoRR, July, 2025

Swing-by Dynamics in Concept Learning and Compositional Generalization.

Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ICLR: In-Context Learning of Representations.

Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.

Kento Nishi, Maya Okawa, Rahul Ramesh, Mikail Khona, Ekdeep Singh Lubana, Hidenori Tanaka

CoRR, 2024

Dynamics of Concept Learning and Compositional Generalization.

Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

CoRR, 2024

Meta-Learning for Neural Network-based Temporal Point Processes.

Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima

CoRR, 2024

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.

Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

2023

Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task.

Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Context-aware spatio-temporal event prediction via convolutional Hawkes processes.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima

Mach. Learn., 2022

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

CoRR, 2022

Predicting Opinion Dynamics via Sociologically-Informed Neural Networks.

Maya Okawa, Tomoharu Iwata

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems.

Maya Okawa, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Tomohiro Yamada

IEICE Trans. Inf. Syst., 2019

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information.

Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Predicting Traffic Accidents with Event Recorder Data.

Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, 2019

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression.

Maya Okawa, Hideaki Kim, Hiroyuki Toda

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2015

Real-time and proactive navigation via spatio-temporal prediction.

Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015