Alejandro Pozas-Kerstjens

19 papers B 1C 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Symmetric observations without symmetric causal explanations. CoRR Christian William, Patrick Remy, Jean-Daniel Bancal, Yu Cai, Nicolas Brunner, Alejandro Pozas-Kerstjens
2025	J	`jnl`	Tensorization of neural networks for improved privacy and interpretability. CoRR José Ramón Pareja Monturiol, Alejandro Pozas-Kerstjens, David Pérez-García
2024	J	`jnl`	Privacy-preserving machine learning with tensor networks. Quantum Alejandro Pozas-Kerstjens, Senaida Hernández-Santana, José Ramón Pareja Monturiol, Marco Castrillón López, Giannicola Scarpa, Carlos E. González-Guillén, David Pérez-García
2024	J	`jnl`	TensorKrowch: Smooth integration of tensor networks in machine learning. Quantum José Ramón Pareja Monturiol, David Pérez-García, Alejandro Pozas-Kerstjens
2023	J	`jnl`	Inflation: a Python library for classical and quantum causal compatibility. Quantum Emanuel-Cristian Boghiu, Elie Wolfe, Alejandro Pozas-Kerstjens
2023	J	`jnl`	TensorKrowch: Smooth integration of tensor networks in machine learning. CoRR José Ramón Pareja Monturiol, David Pérez-García, Alejandro Pozas-Kerstjens
2023	J	`jnl`	Universal representation by Boltzmann machines with Regularised Axons. CoRR 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
2022	C	`conf`	Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm. ICCD Sonia Lopez Alarcon, Cory E. Merkel, Martin Hoffnagle, Sabrina Ly, Alejandro Pozas-Kerstjens
2022	J	`jnl`	Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm. CoRR Sonia Lopez Alarcon, Cory E. Merkel, Martin Hoffnagle, Sabrina Ly, Alejandro Pozas-Kerstjens
2022	J	`jnl`	Physics solutions for machine learning privacy leaks. CoRR Alejandro Pozas-Kerstjens, Senaida Hernández-Santana, José Ramón Pareja Monturiol, Marco Castrillón López, Giannicola Scarpa, Carlos E. González-Guillén, David Pérez-García
2021	J	`jnl`	Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines Mach. Learn. Sci. Technol. Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens
2021	J	`jnl`	Efficient training of energy-based models via spin-glass control. Mach. Learn. Sci. Technol. Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski
2020	J	`jnl`	Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines. CoRR Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens
2020	B	`conf`	Understanding and improving unsupervised training of Boltzman machines. ESANN Przemyslaw R. Grzybowski, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens, Miguel Ángel García-March, Maciej Lewenstein
2019	J	`jnl`	Bayesian deep learning on a quantum computer. Quantum Mach. Intell. Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
2019	J	`jnl`	Efficient training of energy-based models via spin-glass control. CoRR Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski
2019	J	`jnl`	Quantum Inflation: A General Approach to Quantum Causal Compatibility. CoRR Elie Wolfe, Alejandro Pozas-Kerstjens, Matan Grinberg, Denis Rosset, Antonio Acín, Miguel Navascués
2019	—	`—`	Quantum information outside quantum information. Alejandro Pozas-Kerstjens
2018	J	`jnl`	Bayesian Deep Learning on a Quantum Computer. CoRR Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek