Maya Okawa

31 papers A* 11B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.
Mach. Learn.
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2025 J jnl
Emergence of Hierarchical Emotion Organization in Large Language Models.
CoRR
Bo Zhao, Maya Okawa, Eric J. Bigelow, Rose Yu, Tomer D. Ullman, Ekdeep Singh Lubana, Hidenori Tanaka
2025 A* conf
ICLR: In-Context Learning of Representations.
ICLR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 J jnl
ICLR: In-Context Learning of Representations.
CoRR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 A* conf
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.
ICML
Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana
2025 A* conf
Swing-by Dynamics in Concept Learning and Compositional Generalization.
ICLR
Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka
2024 J jnl
Dynamics of Concept Learning and Compositional Generalization.
CoRR
Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka
2024 A* conf
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.
NeurIPS
Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.
CoRR
Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Meta-Learning for Neural Network-based Temporal Point Processes.
CoRR
Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima
2024 J jnl
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.
CoRR
Kento Nishi, Maya Okawa, Rahul Ramesh, Mikail Khona, Ekdeep Singh Lubana, Hidenori Tanaka
2024 A* conf
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
ICML
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
CoRR
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2023 A* conf
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task.
NeurIPS
Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
2023 J jnl
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task.
CoRR
Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
2022 J jnl
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.
CoRR
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2022 J jnl
Context-aware spatio-temporal event prediction via convolutional Hawkes processes.
Mach. Learn.
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima
2022 A* conf
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks.
KDD
Maya Okawa, Tomoharu Iwata
2022 J jnl
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks.
CoRR
Maya Okawa, Tomoharu Iwata
2021 A* conf
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes.
KDD
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
2021 J jnl
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes.
CoRR
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
2019 A* conf
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information.
KDD
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
2019 J jnl
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information.
CoRR
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
2019 J jnl
Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems.
IEICE Trans. Inf. Syst.
Maya Okawa, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Tomohiro Yamada
2019 — conf
Predicting Traffic Accidents with Event Recorder Data.
PredictGIS@SIGSPATIAL
Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda
2019 A* conf
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities.
AAAI
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
2019 A* conf
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.
NeurIPS
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2019 J jnl
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.
CoRR
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
2018 J jnl
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities.
CoRR
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
2017 B conf
Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression.
MDM
Maya Okawa, Hideaki Kim, Hiroyuki Toda
2015 — conf
Real-time and proactive navigation via spatio-temporal prediction.
UbiComp/ISWC Adjunct
Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada