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Yvon Maday

  1. Efficient reduced-basis treatment of nonaffine and nonlinear partial differential equations
    2007/05/01 by Martin A. Grepl, Yvon Maday, Ngoc C. Nguyen +1 · 4 citations
  2. Locally adaptive greedy approximations for anisotropic parameter reduced\n basis spaces
    2012/04/17 by Yvon Maday, Maday, Yvon, Benjamin Stamm +1 · 2 citations
    Engineering · Mathematics · Physics and Astronomy · #Advanced Numerical Methods in Computational Mathematics #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
  3. Adaptive PBDW approach to state estimation: noisy observations;\n user-defined update spaces
    2017/12/27 by Yvon Maday, Tommaso Taddei, Maday, Yvon +1 · 2 citations
    Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #62-07 #93E24 #FOS: Mathematics #Image and Signal Denoising Methods #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  4. Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer
    2023/06/29 by César Feniou, Feniou, César, Muhammad Hassan +11 · 4 citations
    Computer Science · #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Neural Networks and Reservoir Computing #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
  5. Reduced basis techniques for stochastic problems
    2010/04/02 by Sébastien Boyaval, Claude Le Bris, Boyaval, Sébastien +9 · 1 citation
    Decision Sciences · Engineering · Physics and Astronomy · #Advanced Numerical Methods in Computational Mathematics #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design
  6. Open Source Variational Quantum Eigensolver Extension of the Quantum Learning Machine (QLM) for Quantum Chemistry
    2022/06/17 by Mohammad Haidar, Haidar, Mohammad, Marko J. Rančić +7 · 2 citations
    Computer Science · #Quantum Computing Algorithms and Architecture #Quantum-Dot Cellular Automata #Machine Learning and ELM
  7. PBDW method for state estimation: error analysis for noisy data and nonlinear formulation
    2019/06/03 by Helin Gong, Gong, Helin, Yvon Maday +5 · 1 citation
    Decision Sciences · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design
  8. An Adaptive Parareal Algorithm
    2019/09/18 by Yvon Maday, Olga Mula, Maday, Y. +1 · 1 citation
    Computer Science · Engineering · Mathematics · #65M12 #65N55 #65Y05 #65Y20 #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Numerical methods for differential equations
  9. Shortcut to Chemically Accurate Quantum Computing via Density-based Basis-set Correction
    2024/05/19 by Diata Traore, Olivier Adjoua, César Feniou +8 · 1 voice · 2 citations
    Physics and Astronomy · #physics.chem-ph #quant-ph
  10. Pushing the Accuracy Limit of Foundation Neural Network Models with Quantum Monte Carlo Forces and Path Integrals
    2025/04/10 by Anouar Benali, Benali, Anouar, Thomas Plé +39 · 1 voice · 3 citations
    #physics.chem-ph
  11. Symmetric parareal algorithms for Hamiltonian systems
    2010/11/29 by Xing Dai, Dai, X., Frédéric Legoll +4 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #65L05 #65P10 #65Y05 #FOS: Mathematics #Modeling and Simulation Systems #Numerical Analysis (math.NA) #Numerical methods for differential equations #Quantum chaos and dynamical systems
  12. Advancing Force Fields Parameterization: A Directed Graph Attention Networks Approach
    2024/06/14 by Gong Chen, Théo Jaffrelot Inizan, Thomas Plé +3 · 1 voice · 1 citation
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Machine Learning in Materials Science