Search Results - "Jean Michel Sellier" :: K.UTB vyhledávací portál

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On a quantum inspired approach to train machine learning models

by Sellier, Jean Michel
Published in Applied AI Letters (01.12.2023)

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TADA: A Transferable Domain-Adversarial Training for Smart Grid Intrusion Detection Based on Ensemble Divergence Metrics and Spatiotemporal Features

by Liao, Pengyi, Yan, Jun, Sellier, Jean Michel, Zhang, Yongxuan
Published in Energies (Basel) (01.12.2022)

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Divergence-based Transferability Analysis for Self-Adaptive Smart Grid Intrusion Detection with Transfer Learning

by Liao, Pengyi, Yan, Jun, Sellier, Jean Michel, Zhang, Yongxuan
Published in IEEE access (2022)

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Machine learning and signed particles, an alternative and efficient way to simulate quantum systems

by Sellier, Jean Michel, Kapanova, Kristina G., Leygonie, Jacob, Caron, Gaetan Marceau
Published in International journal of quantum chemistry (05.12.2019)

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On the hydrogen atom beyond the Born–Oppenheimer approximation

by Michel Sellier, Jean, Kapanova, Kristina G.
Published in International journal of quantum chemistry (05.11.2017)

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Boundary conditions and the Wigner equation solution

by Dimov, Ivan, Nedjalkov, Mihail, Sellier, Jean-Michel, Selberherr, Siegfried
Published in Journal of computational electronics (01.12.2015)

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A signed particle formulation of non-relativistic quantum mechanics

by Sellier, Jean Michel
Published in Journal of computational physics (15.09.2015)

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Combining neural networks and signed particles to simulate quantum systems more efficiently

by Sellier, Jean Michel
Published in Physica A (15.04.2018)

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Combining Neural Networks and Signed Particles to Simulate Quantum Systems More Efficiently

by Sellier, Jean Michel
Published in arXiv.org (19.10.2017)

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A new Walk on Equations Monte Carlo method for solving systems of linear algebraic equations

by Dimov, Ivan, Maire, Sylvain, Sellier, Jean Michel
Published in Applied mathematical modelling (01.08.2015)

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A Signed Particle Formulation of Non-Relativistic Quantum Mechanics

by Sellier, Jean Michel
Published in arXiv.org (15.09.2015)

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Comparison of deterministic and stochastic methods for time-dependent Wigner simulations

by Shao, Sihong, Sellier, Jean Michel
Published in Journal of computational physics (01.11.2015)

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Journal Article

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On the hydrogen atom beyond the Born-Oppenheimer approximation: SELLIER and KAPANOVA

by Michel Sellier, Jean, Kapanova, Kristina G.
Published in International journal of quantum chemistry (05.11.2017)

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Signed particles and neural networks, towards efficient simulations of quantum systems

by Sellier, Jean Michel, Caron, Gaétan Marceau, Leygonie, Jacob
Published in Journal of computational physics (15.06.2019)

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A study of entangled systems in the many‐body signed particle formulation of quantum mechanics

by Sellier, Jean Michel, Kapanova, Kristina G.
Published in International journal of quantum chemistry (05.12.2017)

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A benchmark study of the Wigner Monte Carlo method

by Sellier, Jean Michel, Nedjalkov, Mihail, Dimov, Ivan, Selberherr, Siegfried
Published in Monte Carlo methods and applications (01.03.2014)

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A New Walk on Equations Monte Carlo Method for Linear Algebraic Problems

by Dimov, Ivan Tomov, Maire, Sylvain, Sellier, Jean-Michel
Published in Applied mathematical modelling (01.08.2015)

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DIGITAL COMPUTING DEVICE TO ACHIEVE PRACTICAL QUANTUM MACHINE LEARNING CAPABILITIES

by SELLIER, Jean Michel
Year of Publication 08.08.2024

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Patent

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METHOD FOR TRAINING A SPIKING NEURAL NETWORK

by SELLIER, Jean Michel
Year of Publication 25.04.2024

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Patent

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The Role of Annihilation in a Wigner Monte Carlo Approach

by Sellier, Jean Michel, Nedjalkov, Mihail, Dimov, Ivan, Selberherr, Siegfried
Published in Large-Scale Scientific Computing (2014)

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