Michael Spannowsky

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Anomaly Detection

Minimum Message Length

Top Venues

Frontiers Artif. Intell.

Mach. Learn. Sci. Technol.

Comput. Phys. Commun.

Publications

Christopher Brown, Michael Spannowsky, Alexander Tapper, Simon Williams, Ioannis Xiotidis
Quantum pathways for charged track finding in high-energy collisions. Frontiers Artif. Intell. 7 (2024)
Samuel Tovey, Christian Holm, Michael Spannowsky
Generating Reservoir State Descriptions with Random Matrices. CoRR (2024)
Sergio Sevillano Muñoz, Edmund J. Copeland, Peter Millington, Michael Spannowsky
FeynMG: A FeynRules extension for scalar-tensor theories of gravity. Comput. Phys. Commun. 296 (2024)
Steve Abel, Juan Carlos Criado, Michael Spannowsky
Training neural networks with universal adiabatic quantum computing. Frontiers Artif. Intell. 7 (2024)
Steve Abel, Juan Carlos Criado, Michael Spannowsky
Training Neural Networks with Universal Adiabatic Quantum Computing. CoRR (2023)
Armand Rousselot, Michael Spannowsky
Generative Invertible Quantum Neural Networks. CoRR (2023)
Jack Y. Araz, Michael Spannowsky
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data. CoRR (2022)
Jack Y. Araz, Michael Spannowsky
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection. CoRR (2022)
Ezequiel Alvarez, Michael Spannowsky, Manuel Szewc
Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models. Frontiers Artif. Intell. 5 (2022)
Steve Abel, Juan Carlos Criado, Michael Spannowsky
Completely Quantum Neural Networks. CoRR (2022)
Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky
Identifying (anti-)skyrmions while they form. CoRR (2022)
Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky
IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection. Frontiers Artif. Intell. 5 (2022)
Juan Carlos Criado, Michael Spannowsky
Qade: Solving Differential Equations on Quantum Annealers. CoRR (2022)
Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky
IRC-safe Graph Autoencoder for an unsupervised anomaly detection. CoRR (2022)
Sven Krippendorf, Michael Spannowsky
A duality connecting neural network and cosmological dynamics. CoRR (2022)
Sven Krippendorf, Michael Spannowsky
A duality connecting neural network and cosmological dynamics. Mach. Learn. Sci. Technol. 3 (3) (2022)
Steven Abel, Luca A. Nutricati, Michael Spannowsky
A Genetic Quantum Annealing Algorithm. CoRR (2022)
Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky
Elvet - a neural network-based differential equation and variational problem solver. CoRR (2021)
Steve Abel, Andrew Blance, Michael Spannowsky
Quantum Optimisation of Complex Systems with a Quantum Annealer. CoRR (2021)
Jack Y. Araz, Michael Spannowsky
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States. CoRR (2021)