Yusuke Tanaka

31 papers A* 8A 2B 1Journal 18Unranked 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 A conf
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations.
AISTATS
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
2025 J jnl
Learning Hamiltonian Density Using DeepONet.
CoRR
Baige Xu, Yusuke Tanaka, Takashi Matsubara, Takaharu Yaguchi
2025 J jnl
Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions.
Trans. Mach. Learn. Res.
Zhong Chuang, Yusuke Tanaka, Tomoharu Iwata
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
Meta-Learning under Task Shift.
Trans. Mach. Learn. Res.
Lei Sun, Yusuke Tanaka, Tomoharu Iwata
2024 J jnl
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs.
CoRR
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
2024 A* conf
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics.
IJCAI
Tomoharu Iwata, Yusuke Tanaka
2023 J jnl
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs.
CoRR
Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda
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 J jnl
Few-shot learning for spatial regression via neural embedding-based Gaussian processes.
Mach. Learn.
Tomoharu Iwata, Yusuke Tanaka
2022 A* conf
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data.
NeurIPS
Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda
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
2021 J jnl
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations.
Artif. Intell.
Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka
2020 A* conf
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm.
AAAI
Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda
2020 J jnl
Few-shot Learning for Spatial Regression.
CoRR
Tomoharu Iwata, Yusuke Tanaka
2020 J jnl
Probabilistic Optimal Transport based on Collective Graphical Models.
CoRR
Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda
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 A* conf
Estimating Latent People Flow without Tracking Individuals.
IJCAI
Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda
2018 B conf
Improving Route Traffic Estimation by Considering Staying Population.
PRIMA
Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada
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
2016 A conf
Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements.
WSDM
Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada
2011 — conf
Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines.
ICMLA (1)
Takuya Kitamura, Shigeo Abe, Yusuke Tanaka