田中 佑典

ガウス過程に基づく時空間データ解析 

統計数理 73 35-51 2025年6月  査読有り招待有り筆頭著者責任著者

Meta-Learning under Task Shift 

Transactions on Machine Learning Research (TMLR) 2024年10月  査読有り

Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective 

Advances in Neural Information Processing Systems (NeurIPS) 2024年  査読有り

Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics. 

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence(IJCAI) 4210-4218 2024年  査読有り

Machine Learning That Reproduces Physical Phenomena from Data 

NTT Technical Review 21(10) 15-19 2023年10月  招待有り筆頭著者責任著者

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

Advances in Neural Information Processing Systems 35 (NeurIPS) 2022年  査読有り筆頭著者責任著者

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

Machine Learning 111(8) 2929-2950 2022年  査読有り

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

Machine Learning 111(4) 1239-1257 2022年  査読有り

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

Artificial Intelligence 292 103430-103430 2021年3月  査読有り筆頭著者責任著者

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

The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 1276-1286 2021年  査読有り

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

The Thirty-Fourth AAAI Conference on Artificial Intelligence(AAAI) 3163-3170 2020年  査読有り

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

IEICE Transactions on Information and Systems E102.D(9) 1635-1643 2019年9月1日  査読有り

少量の移動履歴を考慮した大規模な集計データからの人流推定 

日本データベース学会和文論文誌 17-J(7) 2019年3月  査読有り