Yasunori Akagi （赤木 康紀）

I am a researcher at NTT Human Informatics Laboratories.

My research interests are mathematical modeling, mathematical optimization and data mining.

Contact: oinori1197 at gmail.com

Publications

Google Scholar DBLP

Journals

  1. Yuya Hikima, Yasunori Akagi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda.
    Price and Time Proposal Optimization for Ride-Hailing Services Based on Individual Utilities.
    Transactions of the Japanese Society for Artificial Intelligence, Volume 38, Issue 1, pp. C-M13 1-12, 2023.
  2. Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda.
    MAP Inference Algorithms without Approximation for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.
    Machine Learning, Volume 112, Number 1, pp. 99-129, 2023.

International Conferences

  1. Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa.
    Optimal Transport with Cyclic Symmetry.
    AAAI Conference on Artificial Intelligence (AAAI), 2024.
  2. Yasunori Akagi, Naoki Marumo, Takeshi Kurashima.
    Analytically Tractable Models for Decision Making under Present Bias.
    AAAI Conference on Artificial Intelligence (AAAI), 2024, selected as oral presentation (120/12100).
  3. Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami.
    An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-sourcing.
    AAAI Conference on Artificial Intelligence (AAAI), 2023.
  4. Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim.
    Online Matching with Controllable Rewards and Arrival Probabilities.
    International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  5. Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda.
    Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.
    Advances in Neural Information Processing Systems (NeurIPS), 2021.
  6. Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda.
    Price and Time Optimization for Utility-Aware Taxi Dispatching.
    Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2021.
  7. Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda.
    Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization.
    AAAI Conference on Artificial Intelligence (AAAI), 2021.
  8. 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 Conference on Artificial Intelligence (AAAI), 2020.
  9. Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda.
    Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.
    Advances in Neural Information Processing Systems (NeurIPS), 2019.
  10. Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata.
    Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution.
    The IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  11. Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda.
    A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data.
    International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  12. Shuhei Yamamoto, Takuya Nishimura, Yasunori Akagi, Yoshiaki Takimoto, Takafumi Inoue, Hiroyuki Toda.
    PBG at the NTCIR-13 Lifelog-2 LAT, LSAT, and LEST Tasks.
    NTCIR Conference on Evaluation of Information Access Technologies, 2017. (unrefereed)

Preprints

  1. Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda.
    Probabilistic Optimal Transport based on Collective Graphical Models.
    arXiv, 2020.

Work Experiences

Education