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2020 – today
- 2024
[j6]Sergio Sevillano Muñoz
, Edmund J. Copeland, Peter Millington, Michael Spannowsky:
FeynMG: A FeynRules extension for scalar-tensor theories of gravity. Comput. Phys. Commun. 296: 109035 (2024)- [j5]Steve Abel, Juan Carlos Criado, Michael Spannowsky:
Training neural networks with universal adiabatic quantum computing. Frontiers Artif. Intell. 7 (2024) - [j4]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) - [i16]Samuel Tovey, Christian Holm, Michael Spannowsky:
Generating Reservoir State Descriptions with Random Matrices. CoRR abs/2404.07278 (2024) - [i15]Vishal S. Ngairangbam, Michael Spannowsky:
Optimal Symmetries in Binary Classification. CoRR abs/2408.08823 (2024) - [i14]Jack Y. Araz, Michael Spannowsky:
The role of data embedding in quantum autoencoders for improved anomaly detection. CoRR abs/2409.04519 (2024) - 2023
- [i13]Armand Rousselot, Michael Spannowsky:
Generative Invertible Quantum Neural Networks. CoRR abs/2302.12906 (2023) - [i12]Steve Abel, Juan Carlos Criado, Michael Spannowsky:
Training Neural Networks with Universal Adiabatic Quantum Computing. CoRR abs/2308.13028 (2023) - 2022
- [j3]Ezequiel Alvarez, Michael Spannowsky, Manuel Szewc:
Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models. Frontiers Artif. Intell. 5: 852970 (2022) - [j2]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) - [j1]Sven Krippendorf, Michael Spannowsky:
A duality connecting neural network and cosmological dynamics. Mach. Learn. Sci. Technol. 3(3): 35011 (2022) - [i11]Jack Y. Araz, Michael Spannowsky:
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data. CoRR abs/2202.10471 (2022) - [i10]Sven Krippendorf, Michael Spannowsky:
A duality connecting neural network and cosmological dynamics. CoRR abs/2202.11104 (2022) - [i9]Steve Abel, Juan Carlos Criado, Michael Spannowsky:
Completely Quantum Neural Networks. CoRR abs/2202.11727 (2022) - [i8]Juan Carlos Criado, Michael Spannowsky:
Qade: Solving Differential Equations on Quantum Annealers. CoRR abs/2204.03657 (2022) - [i7]Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky:
IRC-safe Graph Autoencoder for an unsupervised anomaly detection. CoRR abs/2204.12231 (2022) - [i6]Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky:
Identifying (anti-)skyrmions while they form. CoRR abs/2205.11535 (2022) - [i5]Steven Abel, Luca A. Nutricati, Michael Spannowsky:
A Genetic Quantum Annealing Algorithm. CoRR abs/2209.07455 (2022) - [i4]Jack Y. Araz, Michael Spannowsky:
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection. CoRR abs/2211.03803 (2022) - 2021
- [i3]Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky:
Elvet - a neural network-based differential equation and variational problem solver. CoRR abs/2103.14575 (2021) - [i2]Steve Abel, Andrew Blance, Michael Spannowsky:
Quantum Optimisation of Complex Systems with a Quantum Annealer. CoRR abs/2105.13945 (2021) - [i1]Jack Y. Araz, Michael Spannowsky:
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States. CoRR abs/2106.08334 (2021)
Coauthor Index
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