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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...
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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 ...
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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...
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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 ...
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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...
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04/26/2023
Learning to Predict Navigational Patterns from Partial Observations
Human beings cooperatively navigate rule-constrained environments by adh...
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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...
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01/12/2023
Predictive World Models from Real-World Partial Observations
Cognitive scientists believe adaptable intelligent agents like humans pe...
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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...
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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...
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08/06/2022
Pitching strategy evaluation via stratified analysis using propensity score
Recent measurement technologies enable us to analyze baseball at higher ...
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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...
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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...
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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...
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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...
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02/09/2022
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network
t-Stochastic Neighbor Embedding (t-SNE) is a non-parametric data visuali...
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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 ...
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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 ...
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11/04/2021
Quantum tangent kernel
Quantum kernel method is one of the key approaches to quantum machine le...
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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...
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07/12/2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models
Extracting the interaction rules of biological agents from moving sequen...
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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...
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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...
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02/19/2021
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections
Extracting coherent patterns is one of the standard approaches towards u...
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02/15/2021
Data-driven Analysis for Understanding Team Sports Behaviors
Understanding the principles of real-world biological multi-agent behavi...
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12/16/2020
Variational Quantum Algorithms
Applications such as simulating large quantum systems or solving large-s...
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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...
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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...
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05/21/2020
Succinct Trit-array Trie for Scalable Trajectory Similarity Search
Massive datasets of spatial trajectories representing the mobility of a ...
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05/13/2019
Physically-interpretable classification of network dynamics for complex collective motions
Understanding complex network dynamics is a fundamental issue in various...
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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...
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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...
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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...
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03/27/2018
Quantum speedup in stoquastic adiabatic quantum computation
Quantum computation provides exponential speedup for solving certain mat...
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10/27/2016
GPflow: A Gaussian process library using TensorFlow
GPflow is a Gaussian process library that uses TensorFlow for its core c...
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02/26/2016