Local Noise in Neural Networks Models with Self-Control. - Michal Zochowski; Maciej Lewenstein; Andrzej Nowak (Int. J. Neural Syst., 1994)

Simplifying schmidt number witnesses via higher-dimensional embeddings. - Florian Hulpke; Dagmar Bruß; Maciej Lewenstein; Anna Sanpera (Quantum Inf. Comput., 2004)

Towards measurable bounds on entanglement measures. - Remigiusz Augusiak; Maciej Lewenstein (Quantum Inf. Process., 2009)

Distribution of entanglement in networks of bi-partite full-rank mixed states. - G. J. Lapeyre; Sébastien Perseguers; Maciej Lewenstein; Antonio Acín (Quantum Inf. Comput., 2012)

ClassSTRONG: Classical simulations of strong field processes. - M. F. Ciappina; José Antonio Pérez-Hernández; Maciej Lewenstein (Comput. Phys. Commun., 2014)

Trace distance measure of coherence. - Swapan Rana; Preeti Parashar; Maciej Lewenstein (CoRR, 2015)

Logarithmic Coherence: Operational interpretation of l1-norm Coherence. - Swapan Rana; Preeti Parashar; Andreas J. Winter 002; Maciej Lewenstein (CoRR, 2016)

Bose polaron as an instance of quantum Brownian motion. - Aniello Lampo; Soon Hoe Lim; Miguel Ángel García-March; Maciej Lewenstein (Quantum, 2017)

Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition. - Yuhan Liu; Xiao Zhang; Maciej Lewenstein; Shi-Ju Ran (CoRR, 2018)

Separability of diagonal symmetric states: a quadratic conic optimization problem. - Jordi Tura; Albert Aloy; Ruben Quesada; Maciej Lewenstein; Anna Sanpera (Quantum, 2018)

Machine learning method for single trajectory characterization. - Gorka Muñoz-Gil; Miguel Ángel García-March; Carlo Manzo; José David Martín-Guerrero; Maciej Lewenstein (CoRR, 2019)

Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning. - Shi-Ju Ran; Zheng-Zhi Sun; Shao-Ming Fei; Gang Su; Maciej Lewenstein (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)

Thermodynamics as a Consequence of Information Conservation. - Manabendra Nath Bera; Arnau Riera; Maciej Lewenstein; Zahra Baghali Khanian; Andreas J. Winter 002 (Quantum, 2019)

Graded-index optical fiber emulator of an interacting three-atom system: illumination control of particle statistics and classical non-separability. - Miguel A. García-March; Nathan L. Harshman; Heitor da Silva; Thomás Fogarty; Thomas Busch; Maciej Lewenstein; Albert Ferrando (Quantum, 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)

Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics. - Zahra Baghali Khanian; Manabendra Nath Bera; Arnau Riera; Maciej Lewenstein; Andreas J. Winter 002 (CoRR, 2020)

Control of anomalous diffusion of a Bose polaron. - Christos Charalambous; Miguel Ángel García-March; Gorka Muñoz-Gil; Przemyslaw R. Grzybowski; Maciej Lewenstein (Quantum, 2020)

Unsupervised learning of anomalous diffusion data. - Gorka Muñoz-Gil; Guillem Guigó i Corominas; Maciej Lewenstein (CoRR, 2021)

Entanglement-Based Feature Extraction by Tensor Network Machine Learning. - Yuhan Liu; Wen-Jun Li; Xiao Zhang; Maciej Lewenstein; Gang Su; Shi-Ju Ran (Frontiers Appl. Math. Stat., 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)

Unsupervised machine learning of topological phase transitions from experimental data. - Niklas Käming; Anna Dawid; Korbinian Kottmann; Maciej Lewenstein; Klaus Sengstock; Alexandre Dauphin; Christof Weitenberg (Mach. Learn. Sci. Technol., 2021)

Hessian-based toolbox for reliable and interpretable machine learning in physics. - Anna Dawid; Patrick Huembeli; Michal Tomza; Maciej Lewenstein; Alexandre Dauphin (Mach. Learn. Sci. Technol., 2022)

Linear Maps as Sufficient Criteria for Entanglement Depth and Compatibility in Many-Body Systems. - Maciej Lewenstein; Guillem Müller-Rigat; Jordi Tura; Anna Sanpera (Open Syst. Inf. Dyn., 2022)

Probing quantum entanglement from magnetic-sublevels populations: beyond spin squeezing inequalities. - Guillem Müller-Rigat; Maciej Lewenstein; Irénée Frérot (Quantum, 2022)

Learning minimal representations of stochastic processes with variational autoencoders. - Gabriel Fernández-Fernández; Carlo Manzo; Maciej Lewenstein; Alexandre Dauphin; Gorka Muñoz-Gil (CoRR, 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)

Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach. - Guillem Müller-Rigat; Anubhav Kumar Srivastava; Stanislaw Kurdzialek; Grzegorz Rajchel-Mieldzioc; Maciej Lewenstein; Irénée Frérot (Quantum, 2023)

Sonification of Wigner Functions: Case Study of Intense Light-Matter Interactions. - Reiko Yamada; Antoine Reserbat-Plantey; Eloy Piñol; Maciej Lewenstein (MCM, 2024)

Stabilization of Hubbard-Thouless pumps through nonlocal fermionic repulsion. - Javier Argüello-Luengo; Manfred J. Mark; Francesca Ferlaino; Maciej Lewenstein; Luca Barbiero; Sergi Julià-Farré (Quantum, 2024)

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model. - Kacper Cybinski; Marcin Plodzien; Michal Tomza; Maciej Lewenstein; Alexandre Dauphin; Anna Dawid (Mach. Learn. Sci. Technol., 2025)

Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations. - Timothy Heightman; Edward Jiang; Ruth Mora-Soto; Maciej Lewenstein; Marcin Plodzien (CoRR, 2025)