Elvet - a neural network-based differential equation and variational problem solver. - Jack Y. Araz; Juan Carlos Criado; Michael Spannowsky (CoRR, 2021)

Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States. - Jack Y. Araz; Michael Spannowsky (CoRR, 2021)

Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data. - Jack Y. Araz; Michael Spannowsky (CoRR, 2022)

Identifying (anti-)skyrmions while they form. - Jack Y. Araz; Juan Carlos Criado; Michael Spannowsky (CoRR, 2022)

Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection. - Jack Y. Araz; Michael Spannowsky (CoRR, 2022)

The role of data embedding in quantum autoencoders for improved anomaly detection. - Jack Y. Araz; Michael Spannowsky (CoRR, 2024)

Communicating Likelihoods with Normalising Flows. - Jack Y. Araz; Anja Beck; Méril Reboud; Michael Spannowsky; Danny van Dyk (CoRR, 2025)