Yusuke Tanaka

According to our database, Yusuke Tanaka authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs.

Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda

CoRR, 2024

Meta-Learning for Neural Network-based Temporal Point Processes.

Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima

CoRR, 2024

Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics.

Tomoharu Iwata, Yusuke Tanaka

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs.

Tomoharu Iwata, Yusuke Tanaka, Naonori Ueda

CoRR, 2023

2022

Context-aware spatio-temporal event prediction via convolutional Hawkes processes.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima

Mach. Learn., 2022

Few-shot learning for spatial regression via neural embedding-based Gaussian processes.

Tomoharu Iwata, Yusuke Tanaka

Mach. Learn., 2022

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

CoRR, 2022

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data.

Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations.

Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Toshiyuki Tanaka

Artif. Intell., 2021

Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes.

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Few-shot Learning for Spatial Regression.

Tomoharu Iwata, Yusuke Tanaka

CoRR, 2020

Probabilistic Optimal Transport based on Collective Graphical Models.

Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda

CoRR, 2020

Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm.

Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems.

Maya Okawa, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Tomohiro Yamada

IEICE Trans. Inf. Syst., 2019

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information.

Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Predicting Traffic Accidents with Event Recorder Data.

Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, 2019

Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities.

Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Kurashima, Maya Okawa, Hiroyuki Toda

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Improving Route Traffic Estimation by Considering Staying Population.

Hitoshi Shimizu, Tatsushi Matsubayashi, Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Hiroshi Sawada

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

Estimating Latent People Flow without Tracking Individuals.

Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements.

Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2011

Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines.

Takuya Kitamura, Shigeo Abe, Yusuke Tanaka

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011