Search Results for author: Keisuke Fujii

Found 21 papers, 10 papers with code

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

no code implementations12 Jul 2021 Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara

In this paper, we propose a new framework for learning Granger causality from multi-animal trajectories via augmented theory-based behavioral models with interpretable data-driven models.

Time Series

Evaluation of soccer team defense based on prediction models of ball recovery and being attacked

no code implementations17 Mar 2021 Kosuke Toda, Masakiyo Teranishi, Keisuke Kushiro, Keisuke Fujii

Conventional evaluation methods based on predictions of scores are considered unreliable and predict rare events throughout the entire game, and it is difficult to evaluate various plays leading up to a score.

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections

no code implementations19 Feb 2021 Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara

Extracting coherent patterns is one of the standard approaches towards understanding spatio-temporal data.

Data-driven Analysis for Understanding Team Sports Behaviors

no code implementations15 Feb 2021 Keisuke Fujii

This survey focuses on data-driven analysis for quantitative understanding of invasion team sports behaviors such as basketball and football, and introduces two main approaches for understanding such multi-agent behaviors: (1) extracting easily interpretable features or rules from data and (2) generating and controlling behaviors in visually-understandable ways.

Variational Quantum Algorithms

1 code implementation16 Dec 2020 M. Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles

Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high computational cost.

Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union

1 code implementation29 Oct 2020 Rory Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi

Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence.

Sequential Pattern Mining

Quantum error mitigation for fault-tolerant quantum computing

no code implementations8 Oct 2020 Yasunari Suzuki, Suguru Endo, Keisuke Fujii, Yuuki Tokunaga

Fault-tolerant quantum computing (FTQC) is a form of universal quantum computing that suppresses physical errors via quantum error correction (QEC).

Quantum Physics

Policy learning with partial observation and mechanical constraints for multi-person modeling

1 code implementation7 Jul 2020 Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

Extracting the rules of real-world biological multi-agent behaviors is a current challenge in various scientific and engineering fields.

Imitation Learning

Quantum self-learning Monte Carlo with quantum Fourier transform sampler

no code implementations28 May 2020 Katsuhiro Endo, Taichi Nakamura, Keisuke Fujii, Naoki Yamamoto

The self-learning Metropolis-Hastings algorithm is a powerful Monte Carlo method that, with the help of machine learning, adaptively generates an easy-to-sample probability distribution for approximating a given hard-to-sample distribution.

Quantum Physics

Power-law intensity distribution in $γ$-decay cascades

1 code implementation24 May 2020 Keisuke Fujii, Julian C. Berengut

We show that the distribution of $\gamma$-decay intensities from heavy nuclei follows a power law.

Nuclear Theory

Succinct Trit-array Trie for Scalable Trajectory Similarity Search

1 code implementation21 May 2020 Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei

To address this problem, we present the trajectory-indexing succinct trit-array trie (tSTAT), which is a scalable method leveraging LSH for trajectory similarity searches.

Physically-interpretable classification of biological network dynamics for complex collective motions

1 code implementation13 May 2019 Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara

A fundamental question addressed here pertains to the classification of collective motion network based on physically-interpretable dynamical properties.

Classification General Classification

The International Linear Collider: A Global Project

no code implementations5 Mar 2019 Philip Bambade, Tim Barklow, Ties Behnke, Mikael Berggren, James Brau, Philip Burrows, Dmitri Denisov, Angeles Faus-Golfe, Brian Foster, Keisuke Fujii, Juan Fuster, Frank Gaede, Paul Grannis, Christophe Grojean, Andrew Hutton, Benno List, Jenny List, Shinichiro Michizono, Akiya Miyamoto, Olivier Napoly, Michael Peskin, Roman Poeschl, Frank Simon, Jan Strube, Junping Tian, Maksym Titov, Marcel Vos, Andrew White, Graham Wilson, Akira Yamamoto, Hitoshi Yamamoto, Kaoru Yokoya

In this report, we review of all aspects of the ILC program: the physics motivation, the accelerator design, the run plan, the proposed detectors, the experimental measurements on the Higgs boson, the top quark, the couplings of the W and Z bosons, and searches for new particles.

High Energy Physics - Experiment High Energy Physics - Phenomenology Accelerator Physics

Methodology for replacing indirect measurements with direct measurements

no code implementations31 Dec 2018 Kosuke Mitarai, Keisuke Fujii

However, in certain cases, the indirect measurement can be reduced to the direct measurement, where a quantum state is destructively measured.

Quantum Physics

Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables

1 code implementation30 Aug 2018 Keisuke Fujii, Yoshinobu Kawahara

In this paper, we formulate Koopman spectral analysis for NLDSs with structures among observables and propose an estimation algorithm for this problem.

Robust Regression for Automatic Fusion Plasma Analysis based on Generative Modeling

no code implementations3 Aug 2018 Keisuke Fujii, Chihiro Suzuki, Masahiro Hasuo

The first step to realize automatic experimental data analysis for fusion plasma experiments is fitting noisy data of temperature and density spatial profiles, which are obtained routinely.

Quantum Circuit Learning

5 code implementations2 Mar 2018 Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa, Keisuke Fujii

Hybridizing a low-depth quantum circuit and a classical computer for machine learning, the proposed framework paves the way toward applications of near-term quantum devices for quantum machine learning.

Quantum Physics

High-threshold fault-tolerant quantum computation with analog quantum error correction

no code implementations1 Dec 2017 Kosuke Fukui, Akihisa Tomita, Atsushi Okamoto, Keisuke Fujii

To reduce this requirement, we propose a high-threshold fault-tolerant quantum computation with GKP qubits using topologically protected measurement-based quantum computation with the surface code.

Quantum Physics

Harnessing disordered quantum dynamics for machine learning

no code implementations26 Feb 2016 Keisuke Fujii, Kohei Nakajima

Quantum computer has an amazing potential of fast information processing.

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