Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda, Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations, AISTATS, 2025.
Yeang Makara, Yusuke Tanaka, Takashi Matsubara, Takaharu Yaguchi, Learning Hamiltonian Partial Differential Equations Using DeepONet with A Symplectic Branch Network, SCML, 2025.
Baige Xu, Yusuke Tanaka, Takashi Matsubara, Takaharu Yaguchi, Learning Hamiltonian Density Using DeepONet for Modeling Wave Equations, SCML, 2025.
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda, Energy-consistent Neural Operator Learning, SCML, 2025.
Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato, Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective, NeurIPS, 2024.
Tomoharu Iwata, Yusuke Tanaka, Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics, IJCAI, pp. 4210 - 4218, 2024.
Baige Xu, Yusuke Tanaka, Takashi Matsubara, Takaharu Yaguchi, Operator Learning of Hamiltonian Density for Modeling Nonlinear Waves, SciCADE, 2024.
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda, Neural Operators for Hamiltonian and Dissipative PDEs, SciCADE, 2024.
Yusuke Tanaka, Learning Hamiltonian Dynamics Under Uncertainty via Symplectic Gaussian Processes, SCML, 2024.
Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda, Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data, NeurIPS, 2022.
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, and Hisashi Kashima, Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes, KDD, Virtual Conference, pp. 1276 - 1286, 2021. (acceptance rate: 238/1541 = 15.4%)
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, New York, United States, pp. 3163 - 3170, 2020. (acceptance rate: 1591/7737 = 20.6%)
Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda, Predicting Traffic Accidents with Event Recorder Data, ACM SIGSPATIAL Workshop on Prediction of Human Mobility (PredictGIS), Chicago, United States, pp. 11 - 14, 2019.
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda, Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs, NeurIPS, Vancouver, Canada, pp. 3000 - 3010, 2019. (acceptance rate: 1428/6743 = 21.2%) [poster], [code]
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, Anchorage, United States, pp. 373 - 383, 2019. (acceptance rate: 170/1200 = 14.2%)
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, Honolulu, United States, pp. 5091 - 5100, 2019. (acceptance rate: 1150/7095 = 16.2%) [slide, poster]
Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda, Estimating Latent People Flow without Tracking Individuals, IJCAI, Stockholm, Sweden, pp. 3556 - 3563, 2018. (acceptance rate: 710/3470 = 20.5%) [slide, poster]
Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada, Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements, WSDM, San Francisco, United States, pp. 543 - 552, 2016. (acceptance rate: 67/368 = 18.2%) [slide]
Naonori Ueda, Yusuke Tanaka, Akinori Fujino, Robust Naive Bayes Combination of Multiple Classifications, FMI, Fukuoka, Japan, pp. 141 - 155, 2013.
Takuya Kitamura, Shigeo Abe, Yusuke Tanaka, Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines, ICMLA, Honolulu, United States, pp. 358 - 363, 2011.
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda, Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains, Machine Learning, accepted. [code]
Zhong Chuang, Yusuke Tanaka, Tomoharu Iwata, Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions, TMLR, Mar. 2025.
Lei Sun, Yusuke Tanaka, Tomoharu Iwata, Meta-Learning under Task Shift, TMLR, Oct. 2024.
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima, Context-aware spatio-temporal event prediction via convolutional Hawkes processes, Machine Learning, Mar. 2022.
Tomoharu Iwata, Yusuke Tanaka, Few-shot learning for spatial regression via neural embedding-based Gaussian processes, Machine Learning, Nov. 2021.
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda, and Hisashi Kashima, Deep Mixture Point Processes: Spatio-temporal Event Prediction with External Factor, Journal of Japanese Society for Artificial Intelligence, Vol.36, No.5, p.C-L37_1-10, Sep. 2021 (in Japanese).
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, Artificial Intelligence, Vol. 292, 103430, Mar. 2021.
Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda, Predicting Traffic Accidents with Dashboard Cameras, IPSJ-TOD, Vol. 14, No. 1, pp. 1 - 7, Jan. 2021. (in Japanese)
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., Vol. E102-D, No. 9, pp. 1635-1643, Sep. 2019.
Yusuke Kawai, Yusuke Tanaka, Hiroyuki Toda, Yoshiharu Ishikawa, Estimating People Flow from a Large Amount of Aggregated Data with a Few Tracking Data, DBSJ Japanese Journal, Vol.17-J, No. 7, Mar. 2019. (in Japanese)
Yusuke Tanaka, Takeshi Kurashima, Yasuhiro Fujiwara, Tomoharu Iwata, Hiroshi Sawada, Identifying Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements, IPSJ Journal, Vol. 58, No. 2, pp. 580 - 593, Feb. 2017. (in Japanese)
Yusuke Tanaka, Naonori Ueda, Toshiyuki Tanaka, Bayesian Classifier Based on Class-specific Feature Selection, IEICE Trans. Inf. & Syst., Vol. J96-D, No. 11, pp. 2755 − 2764, Nov. 2013. (in Japanese)