b'Keisuke Fujii'

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Featured Co-authors

Zoubin Ghahramani
90 publications
Ichiro Takeuchi
68 publications
Mark van der Wilk
44 publications
Ning Ding
41 publications
Tomoki Hayashi
38 publications
James Hensman
34 publications
Yoshinobu Kawahara
33 publications
Patrick J. Coles
32 publications
M. Cerezo
30 publications
Kazuya Takeda
27 publications
Masahiro Ikeda
22 publications

research

∙ 07/27/2023

A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory

Complex interactions between two opposing agents frequently occur in dom...

0 Calvin C. K. Yeung, et al. ∙

research

∙ 06/29/2023

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era

We introduce the first large-scale dataset, MNISQ, for both the Quantum ...

0 Leonardo Placidi, et al. ∙

research

∙ 05/29/2023

Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning

Analysis of invasive sports such as soccer is challenging because the ga...

0 Hiroshi Nakahara, et al. ∙

research

∙ 05/22/2023

Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations

Modeling of real-world biological multi-agents is a fundamental problem ...

0 Keisuke Fujii, et al. ∙

research

∙ 05/07/2023

Estimation of control area in badminton doubles with pose information from top and back view drone videos

The application of visual tracking to the performance analysis of sports...

0 Ning Ding, et al. ∙

research

∙ 04/26/2023

Learning to Predict Navigational Patterns from Partial Observations

Human beings cooperatively navigate rule-constrained environments by adh...

0 Robin Karlsson, et al. ∙

research

∙ 02/18/2023

Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis

With recently available football match event data that record the detail...

0 Calvin C. K. Yeung, et al. ∙

research

∙ 01/12/2023

Predictive World Models from Real-World Partial Observations

Cognitive scientists believe adaptable intelligent agents like humans pe...

0 Robin Karlsson, et al. ∙

research

∙ 11/30/2022

Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities

Analyzing defenses in team sports is generally challenging because of th...

0 Rikuhei Umemoto, et al. ∙

research

∙ 08/24/2022

Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes

Automatic fault detection is a major challenge in many sports. In race w...

0 Tomohiro Suzuki, et al. ∙

research

∙ 08/06/2022

Pitching strategy evaluation via stratified analysis using propensity score

Recent measurement technologies enable us to analyze baseball at higher ...

0 Hiroshi Nakahara, et al. ∙

research

∙ 06/04/2022

Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios

Evaluation of intervention in a multi-agent system, e.g., when humans sh...

0 Keisuke Fujii, et al. ∙

research

∙ 06/04/2022

Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction

Evaluating the individual movements for teammates in soccer players is c...

0 Masakiyo Teranishi, et al. ∙

research

∙ 06/04/2022

Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball

In baseball, every play on the field is quantitatively evaluated and has...

0 Hiroshi Nakahara, et al. ∙

research

∙ 03/24/2022

A Simple Data-Driven Level Finding Method of Quantum Many-Body Systems based on Statistical Outlier Detection

We report a simple and pure data-driven method to find new energy levels...

0 Kazuaki Hongu, et al. ∙

research

∙ 02/09/2022

Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network

t-Stochastic Neighbor Embedding (t-SNE) is a non-parametric data visuali...

0 Yoshiaki Kawase, et al. ∙

research

∙ 11/24/2021

ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations

This work presents a self-supervised method to learn dense semantically ...

8 Robin Karlsson, et al. ∙

research

∙ 11/24/2021

How does AI play football? An analysis of RL and real-world football strategies

Recent advances in reinforcement learning (RL) have made it possible to ...

57 Atom Scott, et al. ∙

research

∙ 11/04/2021

Quantum tangent kernel

Quantum kernel method is one of the key approaches to quantum machine le...

0 Norihito Shirai, et al. ∙

research

∙ 07/22/2021

Nonlinear transformation of complex amplitudes via quantum singular value transformation

Due to the linearity of quantum operations, it is not straightforward to...

0 Naixu Guo, et al. ∙

research

∙ 07/12/2021

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

Extracting the interaction rules of biological agents from moving sequen...

0 Keisuke Fujii, et al. ∙

research

∙ 03/17/2021

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

With the development of measurement technology, data on the movements of...

0 Kosuke Toda, et al. ∙

research

∙ 03/16/2021

Computational power of one- and two-dimensional dual-unitary quantum circuits

Quantum circuits that are classically simulatable tell us when quantum c...

0 Ryotaro Suzuki, et al. ∙

research

∙ 02/19/2021

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections

Extracting coherent patterns is one of the standard approaches towards u...

0 Naoya Takeishi, et al. ∙

research

∙ 02/15/2021

Data-driven Analysis for Understanding Team Sports Behaviors

Understanding the principles of real-world biological multi-agent behavi...

61 Keisuke Fujii, et al. ∙

research

∙ 12/16/2020

Variational Quantum Algorithms

Applications such as simulating large quantum systems or solving large-s...

0 M. Cerezo, et al. ∙

research

∙ 10/29/2020

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

Given a set of sequences comprised of time-ordered events, sequential pa...

0 Rory Bunker, et al. ∙

research

∙ 07/07/2020

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

Extracting the rules of real-world biological multi-agent behaviors is a...

0 Keisuke Fujii, et al. ∙

research

∙ 05/21/2020

Succinct Trit-array Trie for Scalable Trajectory Similarity Search

Massive datasets of spatial trajectories representing the mobility of a ...

0 Shunsuke Kanda, et al. ∙

research

∙ 05/13/2019

Physically-interpretable classification of network dynamics for complex collective motions

Understanding complex network dynamics is a fundamental issue in various...

0 Keisuke Fujii, et al. ∙

research

∙ 08/30/2018

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

Understanding nonlinear dynamical systems (NLDSs) is challenging in a va...

0 Keisuke Fujii, et al. ∙

research

∙ 08/03/2018

Robust Regression for Automatic Fusion Plasma Analysis based on Generative Modeling

The first step to realize automatic experimental data analysis for fusio...

6 Keisuke Fujii, et al. ∙

research

∙ 05/31/2018

Metric on Nonlinear Dynamical Systems with Koopman Operators

The development of a metric for structural data is a long-term problem i...

0 Isao Ishikawa, et al. ∙

research

∙ 03/27/2018

Quantum speedup in stoquastic adiabatic quantum computation

Quantum computation provides exponential speedup for solving certain mat...

0 Keisuke Fujii, et al. ∙

research

∙ 10/27/2016

GPflow: A Gaussian process library using TensorFlow

GPflow is a Gaussian process library that uses TensorFlow for its core c...

0 Alexander G. de G. Matthews, et al. ∙

research

∙ 02/26/2016

Harnessing disordered quantum dynamics for machine learning

Quantum computer has an amazing potential of fast information processing...

0 Keisuke Fujii, et al. ∙

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