Alejandro Pozas-Kerstjens

According to our database, Alejandro Pozas-Kerstjens authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Quantum-inspired tensor networks in machine learning models.

Guillermo Valverde, Igor García-Olaizola, Giannicola Scarpa, Alejandro Pozas-Kerstjens

CoRR, April, 2026

2025

Symmetric observations without symmetric causal explanations.

Christian William, Patrick Remy, Jean-Daniel Bancal, Yu Cai, Nicolas Brunner, Alejandro Pozas-Kerstjens

CoRR, February, 2025

Tensorization of neural networks for improved privacy and interpretability.

José Ramón Pareja Monturiol, Alejandro Pozas-Kerstjens, David Pérez-García

CoRR, January, 2025

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

TensorKrowch: Smooth integration of tensor networks in machine learning.

José Ramón Pareja Monturiol, David Pérez-García, Alejandro Pozas-Kerstjens

Quantum, 2024

2023

Inflation: a Python library for classical and quantum causal compatibility.

Emanuel-Cristian Boghiu, Elie Wolfe, Alejandro Pozas-Kerstjens

Quantum, May, 2023

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

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

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

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

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

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

2020

Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines.

Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens

CoRR, 2020

Understanding and improving unsupervised training of Boltzman machines.

Przemyslaw R. Grzybowski, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens, Miguel Ángel García-March, Maciej Lewenstein

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Quantum information outside quantum information.

Alejandro Pozas-Kerstjens

PhD thesis, 2019

Bayesian deep learning on a quantum computer.

Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek

Quantum Mach. Intell., 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

Quantum Inflation: A General Approach to Quantum Causal Compatibility.

Elie Wolfe, Alejandro Pozas-Kerstjens, Matan Grinberg, Denis Rosset, Antonio Acín, Miguel Navascués

CoRR, 2019