Quantum Inflation: A General Approach to Quantum Causal Compatibility. - Elie Wolfe; Alejandro Pozas-Kerstjens; Matan Grinberg; Denis Rosset; Antonio Acín; Miguel Navascués (CoRR, 2019)

Efficient training of energy-based models via spin-glass control. - Alejandro Pozas-Kerstjens; Gorka Muñoz-Gil; Miguel Ángel García-March; Antonio Acín; Maciej Lewenstein; Przemyslaw R. Grzybowski (CoRR, 2019)

Bayesian deep learning on a quantum computer. - Zhikuan Zhao; Alejandro Pozas-Kerstjens; Patrick Rebentrost; Peter Wittek (Quantum Mach. Intell., 2019)

Quantum information outside quantum information. - Alejandro Pozas-Kerstjens (2019)

Understanding and improving unsupervised training of Boltzman machines. - Przemyslaw R. Grzybowski; Gorka Muñoz-Gil; Alejandro Pozas-Kerstjens; Miguel Ángel García-March; Maciej Lewenstein (ESANN, 2020)

Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines. - Aidan Kehoe; Peter Wittek; Yanbo Xue; Alejandro Pozas-Kerstjens (CoRR, 2020)

Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines †. - Aidan Kehoe; Peter Wittek; Yanbo Xue; Alejandro Pozas-Kerstjens (Mach. Learn. Sci. Technol., 2021)

Efficient training of energy-based models via spin-glass control. - Alejandro Pozas-Kerstjens; Gorka Muñoz-Gil; Eloy Piñol; Miguel Ángel García-March; Antonio Acín; Maciej Lewenstein; Przemyslaw R. Grzybowski (Mach. Learn. Sci. Technol., 2021)

Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm. - Sonia Lopez Alarcon; Cory E. Merkel; Martin Hoffnagle; Sabrina Ly; Alejandro Pozas-Kerstjens (ICCD, 2022)

Physics solutions for machine learning privacy leaks. - Alejandro Pozas-Kerstjens; Senaida Hernández-Santana; José Ramón Pareja Monturiol; Marco Castrillón López; Giannicola Scarpa; Carlos E. González-Guillén; David Pérez-García (CoRR, 2022)

Universal representation by Boltzmann machines with Regularised Axons. - Przemyslaw R. Grzybowski; Antoni Jankiewicz; Eloy Piñol; David Cirauqui; Dorota H. Grzybowska; Pawel M. Petrykowski; Miguel Ángel García-March; Maciej Lewenstein; Gorka Muñoz-Gil; Alejandro Pozas-Kerstjens (CoRR, 2023)

Inflation: a Python library for classical and quantum causal compatibility. - Emanuel-Cristian Boghiu; Elie Wolfe; Alejandro Pozas-Kerstjens (Quantum, 2023)

TensorKrowch: Smooth integration of tensor networks in machine learning. - José Ramón Pareja Monturiol; David Pérez-García; Alejandro Pozas-Kerstjens (Quantum, 2024)

Privacy-preserving machine learning with tensor networks. - Alejandro Pozas-Kerstjens; Senaida Hernández-Santana; José Ramón Pareja Monturiol; Marco Castrillón López; Giannicola Scarpa; Carlos E. González-Guillén; David Pérez-García (Quantum, 2024)

Tensorization of neural networks for improved privacy and interpretability. - José Ramón Pareja Monturiol; Alejandro Pozas-Kerstjens; David Pérez-García (CoRR, 2025)

Symmetric observations without symmetric causal explanations. - Christian William; Patrick Remy; Jean-Daniel Bancal; Yu Cai; Nicolas Brunner; Alejandro Pozas-Kerstjens (CoRR, 2025)