Keisuke Fujii — accepted AI-conference papers

2023

Learning to Predict Navigational Patterns From Partial Observations

Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda

RA-L 2023

Human beings cooperatively navigate rule-constrained environments by adhering to mutually known navigational patterns, which may be represented as directional pathways or road lanes. Inferring these navigational patterns from incompletely observed environments is required for intelligent mobile robo

Cited by 5 Source ↗code ↗Scholar ↗

2021

Learning interaction rules from multi-animal trajectories via augmented behavioral models

Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryooya Tanaka +7

NeurIPS 2021poster

Extracting the interaction rules of biological agents from movement sequences pose challenges in various domains. Granger causality is a practical framework for analyzing the interactions from observed time-series data; however, this framework ignores the structures and assumptions of the generative…

Cited by 23 Source ↗PDF ↗code ↗Scholar ↗

2018

Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators

Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara

NeurIPS 2018poster

The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In this paper, we develop a general metric for comparing nonlinear dynamical systems that is defined with Perron-Frobenius operators in reproducing kernel Hilbert spaces. Our metric in…

Cited by 31 Source ↗PDF ↗code ↗Scholar ↗