Alejandro Pozas-Kerstjens

Orcid: 0000-0002-3853-3545

According to our database1, Alejandro Pozas-Kerstjens authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Inflation: a Python library for classical and quantum causal compatibility.
Quantum, May, 2023

Universal representation by Boltzmann machines with Regularised Axons.
CoRR, 2023

TensorKrowch: Smooth integration of tensor networks in machine learning.
CoRR, 2023

2022
Physics solutions for machine learning privacy leaks.
CoRR, 2022

Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
Efficient training of energy-based models via spin-glass control.
Mach. Learn. Sci. Technol., 2021

Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines <sup>†</sup>.
Mach. Learn. Sci. Technol., 2021

2020
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines.
CoRR, 2020

Understanding and improving unsupervised training of Boltzman machines.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Quantum information outside quantum information.
PhD thesis, 2019

Bayesian deep learning on a quantum computer.
Quantum Mach. Intell., 2019

Efficient training of energy-based models via spin-glass control.
CoRR, 2019

Quantum Inflation: A General Approach to Quantum Causal Compatibility.
CoRR, 2019


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