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ORCIDYusuke Tanaka 0002
Person information
- affiliation: NTT Service Evolution Laboratories, Kanagawa, Japan
- affiliation (2011 - 2013): Kyoto University, Japan
- affiliation (2007 - 2011): Kobe University, Japan
Other persons with the same name
- Yusuke Tanaka — disambiguation page
- Yusuke Tanaka 0001 — Nagoya University, Department of Computational Science and Engineering, Japan
- Yusuke Tanaka 0003 — Toyota Infotechnology Center Co., Ltd (and 2 more)
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Journal Articles
- 2022
[j4]Tomoharu Iwata
, Yusuke Tanaka:
Few-shot learning for spatial regression via neural embedding-based Gaussian processes. Mach. Learn. 111(4): 1239-1257 (2022)- [j3]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) - 2021
- [j2]Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka:
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations. Artif. Intell. 292: 103430 (2021) - 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)
Conference and Workshop Papers
- 2022
- [c11]Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda:
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data. NeurIPS 2022 - 2021
- [c10]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 - 2020
- [c9]Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda:
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm. AAAI 2020: 3163-3170 - 2019
- [c8]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 - [c7]Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda:
Predicting Traffic Accidents with Event Recorder Data. PredictGIS@SIGSPATIAL 2019: 11-14 - [c6]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 - [c5]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 - 2018
- [c4]Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda:
Estimating Latent People Flow without Tracking Individuals. IJCAI 2018: 3556-3563 - [c3]Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada:
Improving Route Traffic Estimation by Considering Staying Population. PRIMA 2018: 630-637 - 2016
- [c2]Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada:
Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements. WSDM 2016: 543-552 - 2011
- [c1]Takuya Kitamura, Shigeo Abe, Yusuke Tanaka:
Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines. ICMLA (1) 2011: 358-363
Informal and Other Publications
- 2024
- [i10]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) - [i9]Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda:
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs. CoRR abs/2402.09018 (2024) - 2023
- [i8]Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda:
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs. CoRR abs/2310.13270 (2023) - 2022
- [i7]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) - 2021
- [i6]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) - 2020
- [i5]Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda:
Probabilistic Optimal Transport based on Collective Graphical Models. CoRR abs/2006.08866 (2020) - [i4]Tomoharu Iwata, Yusuke Tanaka:
Few-shot Learning for Spatial Regression. CoRR abs/2010.04360 (2020) - 2019
- [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)
Coauthor Index
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