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2020 – today
- 2024
[c10]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. ICML 2024- [i12]Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima:
Meta-Learning for Neural Network-based Temporal Point Processes. CoRR abs/2401.15846 (2024) - [i11]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 abs/2402.07757 (2024) - [i10]Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka:
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space. CoRR abs/2406.19370 (2024) - [i9]Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka:
Dynamics of Concept Learning and Compositional Generalization. CoRR abs/2410.08309 (2024) - [i8]Kento Nishi, Maya Okawa, Rahul Ramesh, Mikail Khona, Ekdeep Singh Lubana, Hidenori Tanaka:
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing. CoRR abs/2410.17194 (2024) - 2023
- [c9]Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka:
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task. NeurIPS 2023 - [i7]Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka:
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task. CoRR abs/2310.09336 (2023) - 2022
- [j2]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): 2929-2950 (2022) - [c8]Maya Okawa, Tomoharu Iwata:
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. KDD 2022: 1306-1316 - [i6]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 abs/2206.12141 (2022) - [i5]Maya Okawa, Tomoharu Iwata:
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. CoRR abs/2207.03990 (2022) - 2021
- [c7]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: 1276-1286 - [i4]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 abs/2105.11152 (2021)
2010 – 2019
- 2019
- [j1]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. 102-D(9): 1635-1643 (2019) - [c6]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: 5091-5099 - [c5]Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda:
Predicting Traffic Accidents with Event Recorder Data. PredictGIS@SIGSPATIAL 2019: 11-14 - [c4]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: 373-383 - [c3]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. NeurIPS 2019: 3000-3010 - [i3]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 abs/1906.08952 (2019) - [i2]Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda:
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs. CoRR abs/1907.08350 (2019) - 2018
- [i1]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 abs/1809.07952 (2018) - 2017
- [c2]Maya Okawa, Hideaki Kim, Hiroyuki Toda:
Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression. MDM 2017: 134-143 - 2015
- [c1]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: 1559-1566
Coauthor Index
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