Yasunori Akagi

According to our database, Yasunori Akagi authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Continuous-time Tractable Model for Present-biased Agents.

Yasunori Akagi, Hideaki Kim, Takeshi Kurashima

CoRR, 2024

Optimal Transport with Cyclic Symmetry.

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Analytically Tractable Models for Decision Making under Present Bias.

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.

Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda

Mach. Learn., January, 2023

An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing.

Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

CoRR, 2022

Online Matching with Controllable Rewards and Arrival Probabilities.

Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Price and Time Optimization for Utility-Aware Taxi Dispatching.

Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.

Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization.

Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Probabilistic Optimal Transport based on Collective Graphical Models.

Yasunori Akagi, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda

CoRR, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs.

Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution.

Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data.

Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

PBG at the NTCIR-13 Lifelog-2 LAT, LSAT, and LEST Tasks.

Shuhei Yamamoto, Takuya Nishimura, Yasunori Akagi, Yoshiaki Takimoto, Takafumi Inoue, Hiroyuki Toda

Proceedings of the 13th NTCIR Conference, 2017