Tanaka, Yusuke

12 publications

AISTATS 2025 Energy-Consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda

TMLR 2025 Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions Zhong Chuang, Yusuke Tanaka, Tomoharu Iwata

TMLR 2024 Meta-Learning Under Task Shift Lei Sun, Yusuke Tanaka, Tomoharu Iwata

IJCAI 2024 Symplectic Neural Gaussian Processes for Meta-Learning Hamiltonian Dynamics Tomoharu Iwata, Yusuke Tanaka

NeurIPS 2024 Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato

MLJ 2022 Context-Aware Spatio-Temporal Event Prediction via Convolutional Hawkes Processes Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima

MLJ 2022 Few-Shot Learning for Spatial Regression via Neural Embedding-Based Gaussian Processes Tomoharu Iwata, Yusuke Tanaka

NeurIPS 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda

AAAI 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

AAAI 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

NeurIPS 2019 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

IJCAI 2018 Estimating Latent People Flow Without Tracking Individuals Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda