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Michael Spannowsky

Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods

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Oct 24, 2024
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Collective variables of neural networks: empirical time evolution and scaling laws

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Oct 09, 2024
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The role of data embedding in quantum autoencoders for improved anomaly detection

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Sep 06, 2024
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Optimal Symmetries in Binary Classification

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Aug 16, 2024
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Training Neural Networks with Universal Adiabatic Quantum Computing

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Aug 24, 2023
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Generative Invertible Quantum Neural Networks

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Feb 24, 2023
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Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection

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Nov 07, 2022
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A Genetic Quantum Annealing Algorithm

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Sep 15, 2022
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Identifying (anti-)skyrmions while they form

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May 23, 2022
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IRC-safe Graph Autoencoder for an unsupervised anomaly detection

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Apr 26, 2022
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