Maya Okawa

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Gaussian Process

Spatial Data Management

Point Processes

Top Venues

UbiComp/ISWC Adjunct

Publications

Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima
Meta-Learning for Neural Network-based Temporal Point Processes. CoRR (2024)
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. CoRR (2024)
Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space. CoRR (2024)
Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task. CoRR (2023)
Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task. NeurIPS (2023)
Maya Okawa, Tomoharu Iwata
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. CoRR (2022)
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima
Context-aware spatio-temporal event prediction via convolutional Hawkes processes. Mach. Learn. 111 (8) (2022)
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains. CoRR (2022)
Maya Okawa, Tomoharu Iwata
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. KDD (2022)
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR (2021)
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. KDD (2021)
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. KDD (2019)
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities. AAAI (2019)
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. NeurIPS (2019)
Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda
Predicting Traffic Accidents with Event Recorder Data. PredictGIS@SIGSPATIAL (2019)
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information. CoRR (2019)
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. CoRR (2019)
Maya Okawa, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Tomohiro Yamada
Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems. IEICE Trans. Inf. Syst. (9) (2019)
Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities. CoRR (2018)
Maya Okawa, Hideaki Kim, Hiroyuki Toda
Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression. MDM (2017)
Naonori Ueda, Futoshi Naya, Hitoshi Shimizu, Tomoharu Iwata, Maya Okawa, Hiroshi Sawada
Real-time and proactive navigation via spatio-temporal prediction. UbiComp/ISWC Adjunct (2015)