Search Results - Maennel, Hartmut

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  1. 1
    Complete and Efficient Covariants for Three-Dimensional Point Configurations with Application to Learning Molecular Quantum Properties

    Complete and Efficient Covariants for Three-Dimensional Point Configurations with Application to Learning Molecular Quantum Properties by Maennel, Hartmut, Unke, Oliver T, Müller, Klaus-Robert

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  2. 2
    Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments

    Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments by Unke, Oliver T, Stöhr, Martin, Ganscha, Stefan, Unterthiner, Thomas, Maennel, Hartmut, Kashubin, Sergii, Ahlin, Daniel, Gastegger, Michael, Medrano Sandonas, Leonardo, Berryman, Joshua T, Tkatchenko, Alexandre, Müller, Klaus-Robert

    Published in Science advances
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  3. 3
    E3x: \(\mathrm{E}(3)\)-Equivariant Deep Learning Made Easy

    E3x: \(\mathrm{E}(3)\)-Equivariant Deep Learning Made Easy by Unke, Oliver T, Maennel, Hartmut

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  4. 4
    Exact marginal inference in Latent Dirichlet Allocation

    Exact marginal inference in Latent Dirichlet Allocation by Maennel, Hartmut

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  5. 5
    Complete and Efficient Covariants for 3D Point Configurations with Application to Learning Molecular Quantum Properties

    Complete and Efficient Covariants for 3D Point Configurations with Application to Learning Molecular Quantum Properties by Maennel, Hartmut, Unke, Oliver T, Klaus-Robert Müller

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  6. 6
    The Impact of Reinitialization on Generalization in Convolutional Neural Networks

    The Impact of Reinitialization on Generalization in Convolutional Neural Networks by Ibrahim Alabdulmohsin, Maennel, Hartmut, Keysers, Daniel

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  7. 7
    Deep Learning Through the Lens of Example Difficulty

    Deep Learning Through the Lens of Example Difficulty by Baldock, Robert J N, Maennel, Hartmut, Neyshabur, Behnam

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  8. 8
    Gradient Descent Quantizes ReLU Network Features

    Gradient Descent Quantizes ReLU Network Features by Maennel, Hartmut, Bousquet, Olivier, Gelly, Sylvain

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  9. 9
    What Do Neural Networks Learn When Trained With Random Labels?

    What Do Neural Networks Learn When Trained With Random Labels? by Maennel, Hartmut, Ibrahim Alabdulmohsin, Tolstikhin, Ilya, Baldock, Robert J N, Bousquet, Olivier, Gelly, Sylvain, Keysers, Daniel

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  10. 10
    Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations

    Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations by Unke, Oliver T, Stöhr, Martin, Ganscha, Stefan, Unterthiner, Thomas, Maennel, Hartmut, Kashubin, Sergii, Ahlin, Daniel, Gastegger, Michael, Leonardo Medrano Sandonas, Tkatchenko, Alexandre, Klaus-Robert Müller

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  11. 11
    Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates

    Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates by Penedones, Hugo, Riquelme, Carlos, Vincent, Damien, Maennel, Hartmut, Mann, Timothy, Barreto, Andre, Gelly, Sylvain, Neu, Gergely

    Published in arXiv.org
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  12. 12
    Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem

    Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem by Penedones, Hugo, Vincent, Damien, Maennel, Hartmut, Gelly, Sylvain, Mann, Timothy, Barreto, Andre

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