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Tensor Networks for Explainable Machine Learning in Cybersecurity

Tensor Networks for Explainable Machine Learning in Cybersecurity

29 December 2023
Borja Aizpurua
Samuel Palmer
Roman Orus
ArXivPDFHTML

Papers citing "Tensor Networks for Explainable Machine Learning in Cybersecurity"

12 / 12 papers shown
Title
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
Safa Hamreras
Sukhbinder Singh
Roman Orus
28
0
0
26 May 2025
Explaining Anomalies with Tensor Networks
Explaining Anomalies with Tensor Networks
Hans Hohenfeld
Marius Beuerle
Elie Mounzer
46
0
0
06 May 2025
tn4ml: Tensor Network Training and Customization for Machine Learning
tn4ml: Tensor Network Training and Customization for Machine Learning
E. Puljak
Sergio Sánchez Ramírez
Sergi Masot-Llima
Jofre Vallès-Muns
Artur Garcia-Saez
M. Pierini
81
1
0
18 Feb 2025
Quantum-inspired Techniques in Tensor Networks for Industrial Contexts
Quantum-inspired Techniques in Tensor Networks for Industrial Contexts
Alejandro Mata Ali
Inigo Perez Delgado
Aitor Moreno-Fernandez-de-Leceta
65
0
0
17 Apr 2024
Técnicas Quantum-Inspired en Tensor Networks para Contextos
  Industriales
Técnicas Quantum-Inspired en Tensor Networks para Contextos Industriales
Alejandro Mata Ali
Inigo Perez Delgado
Aitor Moreno-Fernandez-de-Leceta
50
0
0
08 Mar 2024
Tensor networks for interpretable and efficient quantum-inspired machine
  learning
Tensor networks for interpretable and efficient quantum-inspired machine learning
Shirli Ran
Gang Su
66
7
0
19 Nov 2023
TensorKrowch: Smooth integration of tensor networks in machine learning
TensorKrowch: Smooth integration of tensor networks in machine learning
José Ramón Pareja Monturiol
David Pérez-García
Alejandro Pozas-Kerstjens
51
3
0
14 Jun 2023
Anomaly Detection with Tensor Networks
Anomaly Detection with Tensor Networks
Jinhui Wang
Chase Roberts
G. Vidal
Stefan Leichenauer
63
40
0
03 Jun 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
105
6,211
0
22 Oct 2019
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
93
270
0
06 Sep 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
692
21,613
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
746
16,828
0
16 Feb 2016
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