Yusuke Tanaka

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Preference Learning

Point Processes

Diffusion Model

Top Venues

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)
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs. CoRR (2024)
Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs. CoRR (2023)
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)
Tomoharu Iwata, Yusuke Tanaka
Few-shot learning for spatial regression via neural embedding-based Gaussian processes. Mach. Learn. 111 (4) (2022)
Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data. NeurIPS (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, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR (2021)
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 (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)
Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda
Probabilistic Optimal Transport based on Collective Graphical Models. CoRR (2020)
Tomoharu Iwata, Yusuke Tanaka
Few-shot Learning for Spatial Regression. CoRR (2020)
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)
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)
Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda
Estimating Latent People Flow without Tracking Individuals. IJCAI (2018)
Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada
Improving Route Traffic Estimation by Considering Staying Population. PRIMA (2018)
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)
Takuya Kitamura, Shigeo Abe, Yusuke Tanaka
Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines. ICMLA (1) (2011)