Jack Y. Araz

According to our database, Jack Y. Araz authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

The role of data embedding in quantum autoencoders for improved anomaly detection.

Jack Y. Araz, Michael Spannowsky

Quantum Mach. Intell., June, 2026

2025

Another Fit Bites the Dust: Conformal Prediction as a Calibration Standard for Machine Learning in High-Energy Physics.

Jack Y. Araz, Michael Spannowsky

CoRR, December, 2025

Communicating Likelihoods with Normalising Flows.

Jack Y. Araz, Anja Beck, Méril Reboud, Michael Spannowsky, Danny van Dyk

CoRR, February, 2025

2022

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

Jack Y. Araz, Michael Spannowsky

CoRR, 2022

Identifying (anti-)skyrmions while they form.

Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky

CoRR, 2022

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

Jack Y. Araz, Michael Spannowsky

CoRR, 2022

2021

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

Jack Y. Araz, Michael Spannowsky

CoRR, 2021

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

Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky

CoRR, 2021