Michael Spannowsky

CoRR, 2023

Generative Invertible Quantum Neural Networks.

[BibT_eX]

[DOI]

Armand Rousselot

CoRR, 2023

2022

A duality connecting neural network and cosmological dynamics.

[BibT_eX]

[DOI]

Sven Krippendorf

Mach. Learn. Sci. Technol., 2022

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Vishal S. Ngairangbam

Frontiers Artif. Intell., 2022

Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models.

[BibT_eX]

[DOI]

Ezequiel Alvarez

Manuel Szewc

Frontiers Artif. Intell., 2022

Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2022

A Genetic Quantum Annealing Algorithm.

[BibT_eX]

[DOI]

Steven Abel

Luca A. Nutricati

CoRR, 2022

Identifying (anti-)skyrmions while they form.

[BibT_eX]

[DOI]

CoRR, 2022

IRC-safe Graph Autoencoder for an unsupervised anomaly detection.

[BibT_eX]

[DOI]

Vishal S. Ngairangbam

CoRR, 2022

Qade: Solving Differential Equations on Quantum Annealers.

[BibT_eX]

[DOI]

CoRR, 2022

Completely Quantum Neural Networks.

[BibT_eX]

[DOI]

Steve Abel

CoRR, 2022

Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States.

[BibT_eX]

[DOI]

CoRR, 2021

Quantum Optimisation of Complex Systems with a Quantum Annealer.

[BibT_eX]

[DOI]

Steve Abel

Andrew Blance

CoRR, 2021

Elvet - a neural network-based differential equation and variational problem solver.

[BibT_eX]

[DOI]