| A fast and accurate method for estimating people flow from spatiotemporal population data. Y Akagi, T Nishimura, T Kurashima, H Toda IJCAI 3293, 3300, 2018 | 42 | 2018 |
| Video magnification in the wild using fractional anisotropy in temporal distribution S Takeda, Y Akagi, K Okami, M Isogai, H Kimata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 38 | 2019 |
| Spatially aggregated Gaussian processes with multivariate areal outputs Y Tanaka, T Tanaka, T Iwata, T Kurashima, M Okawa, Y Akagi, H Toda Advances in Neural Information Processing Systems 32, 2019 | 37 | 2019 |
| PBG at the NTCIR-13 Lifelog-2 LAT, LSAT, and LEST Tasks. S Yamamoto, T Nishimura, Y Akagi, Y Takimoto, T Inoue, H Toda NTCIR, 2017 | 21 | 2017 |
| Integrated optimization of bipartite matching and its stochastic behavior: New formulation and approximation algorithm via min-cost flow optimization Y Hikima, Y Akagi, H Kim, M Kohjima, T Kurashima, H Toda Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3796-3805, 2021 | 11 | 2021 |
| Analytically tractable models for decision making under present bias Y Akagi, N Marumo, T Kurashima Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9441-9450, 2024 | 8 | 2024 |
| Online Matching with Controllable Rewards and Arrival Probabilities. Y Hikima, Y Akagi, N Marumo, H Kim IJCAI, 1825-1833, 2022 | 8 | 2022 |
| An improved approximation algorithm for wage determination and online task allocation in crowd-sourcing Y Hikima, Y Akagi, H Kim, T Asami Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 3977-3986, 2023 | 6 | 2023 |
| Price and time optimization for utility-aware taxi dispatching Y Hikima, M Kohjima, Y Akagi, T Kurashima, H Toda Pacific Rim International Conference on Artificial Intelligence, 370-381, 2021 | 6 | 2021 |
| Exact and efficient inference for collective flow diffusion model via minimum convex cost flow algorithm Y Akagi, T Nishimura, Y Tanaka, T Kurashima, H Toda Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3163-3170, 2020 | 6 | 2020 |
| Probabilistic optimal transport based on collective graphical models Y Akagi, Y Tanaka, T Iwata, T Kurashima, H Toda arXiv preprint arXiv:2006.08866, 2020 | 3 | 2020 |
| A Continuous-time Tractable Model for Present-biased Agents Y Akagi, H Kim, T Kurashima Proceedings of the AAAI Conference on Artificial Intelligence 39 (13), 13510 …, 2025 | 2 | 2025 |
| Optimal transport with cyclic symmetry S Takeda, Y Akagi, N Marumo, K Niwa Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15211 …, 2024 | 2 | 2024 |
| Price and Time Proposal Optimization for Ride-Hailing Services Based on Individual Utilities Y Hikima, Y Akagi, M Kohjima, T Kurashima, H Toda Transactions of the Japanese Society for Artificial Intelligence 38 (1), C …, 2023 | 1 | 2023 |
| Non-approximate inference for collective graphical models on path graphs via discrete difference of convex algorithm Y Akagi, N Marumo, H Kim, T Kurashima, H Toda Advances in Neural Information Processing Systems 34, 25812-25823, 2021 | 1 | 2021 |
| Gromov-Wasserstein Problem with Cyclic Symmetry S Takeda, Y Akagi Proceedings of the Computer Vision and Pattern Recognition Conference, 21011 …, 2025 | | 2025 |
| MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm Y Akagi, N Marumo, H Kim, T Kurashima, H Toda Machine Learning 112 (1), 99-129, 2023 | | 2023 |
| Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains Y Tanaka, T Tanaka, T Iwata, T Kurashima, M Okawa, Y Akagi, H Toda arXiv preprint arXiv:2206.12141, 2022 | | 2022 |
Takeshi KurashimaNTTVerified email at hco.ntt.co.jp
