Maciej Lewenstein

32 papers B 1Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model. Mach. Learn. Sci. Technol. Kacper Cybinski, Marcin Plodzien, Michal Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid
2025	J	`jnl`	Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations. CoRR Timothy Heightman, Edward Jiang, Ruth Mora-Soto, Maciej Lewenstein, Marcin Plodzien
2024	—	`conf`	Sonification of Wigner Functions: Case Study of Intense Light-Matter Interactions. MCM Reiko Yamada, Antoine Reserbat-Plantey, Eloy Piñol, Maciej Lewenstein
2024	J	`jnl`	Stabilization of Hubbard-Thouless pumps through nonlocal fermionic repulsion. Quantum Javier Argüello-Luengo, Manfred J. Mark, Francesca Ferlaino, Maciej Lewenstein, Luca Barbiero, Sergi Julià-Farré
2023	J	`jnl`	Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach. Quantum Guillem Müller-Rigat, Anubhav Kumar Srivastava, Stanislaw Kurdzialek, Grzegorz Rajchel-Mieldzioc, Maciej Lewenstein, Irénée Frérot
2023	J	`jnl`	Learning minimal representations of stochastic processes with variational autoencoders. CoRR Gabriel Fernández-Fernández, Carlo Manzo, Maciej Lewenstein, Alexandre Dauphin, Gorka Muñoz-Gil
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	J	`jnl`	Hessian-based toolbox for reliable and interpretable machine learning in physics. Mach. Learn. Sci. Technol. Anna Dawid, Patrick Huembeli, Michal Tomza, Maciej Lewenstein, Alexandre Dauphin
2022	J	`jnl`	Linear Maps as Sufficient Criteria for Entanglement Depth and Compatibility in Many-Body Systems. Open Syst. Inf. Dyn. Maciej Lewenstein, Guillem Müller-Rigat, Jordi Tura, Anna Sanpera
2022	J	`jnl`	Probing quantum entanglement from magnetic-sublevels populations: beyond spin squeezing inequalities. Quantum Guillem Müller-Rigat, Maciej Lewenstein, Irénée Frérot
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
2021	J	`jnl`	Entanglement-Based Feature Extraction by Tensor Network Machine Learning. Frontiers Appl. Math. Stat. Yuhan Liu, Wen-Jun Li, Xiao Zhang, Maciej Lewenstein, Gang Su, Shi-Ju Ran
2021	J	`jnl`	Unsupervised learning of anomalous diffusion data. CoRR Gorka Muñoz-Gil, Guillem Guigó i Corominas, Maciej Lewenstein
2021	J	`jnl`	Unsupervised machine learning of topological phase transitions from experimental data. Mach. Learn. Sci. Technol. Niklas Käming, Anna Dawid, Korbinian Kottmann, Maciej Lewenstein, Klaus Sengstock, Alexandre Dauphin, Christof Weitenberg
2020	J	`jnl`	Control of anomalous diffusion of a Bose polaron. Quantum Christos Charalambous, Miguel Ángel García-March, Gorka Muñoz-Gil, Przemyslaw R. Grzybowski, Maciej Lewenstein
2020	J	`jnl`	Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics. CoRR Zahra Baghali Khanian, Manabendra Nath Bera, Arnau Riera, Maciej Lewenstein, Andreas J. Winter
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`	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`	Graded-index optical fiber emulator of an interacting three-atom system: illumination control of particle statistics and classical non-separability. Quantum Miguel A. García-March, Nathan L. Harshman, Heitor da Silva, Thomás Fogarty, Thomas Busch, Maciej Lewenstein, Albert Ferrando
2019	J	`jnl`	Machine learning method for single trajectory characterization. CoRR Gorka Muñoz-Gil, Miguel Ángel García-March, Carlo Manzo, José David Martín-Guerrero, Maciej Lewenstein
2019	J	`jnl`	Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning. CoRR Shi-Ju Ran, Zheng-Zhi Sun, Shao-Ming Fei, Gang Su, Maciej Lewenstein
2019	J	`jnl`	Thermodynamics as a Consequence of Information Conservation. Quantum Manabendra Nath Bera, Arnau Riera, Maciej Lewenstein, Zahra Baghali Khanian, Andreas J. Winter
2018	J	`jnl`	Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition. CoRR Yuhan Liu, Xiao Zhang, Maciej Lewenstein, Shi-Ju Ran
2018	J	`jnl`	Separability of diagonal symmetric states: a quadratic conic optimization problem. Quantum Jordi Tura, Albert Aloy, Ruben Quesada, Maciej Lewenstein, Anna Sanpera
2017	J	`jnl`	Bose polaron as an instance of quantum Brownian motion. Quantum Aniello Lampo, Soon Hoe Lim, Miguel Ángel García-March, Maciej Lewenstein
2016	J	`jnl`	Logarithmic Coherence: Operational interpretation of l CoRR Swapan Rana, Preeti Parashar, Andreas J. Winter, Maciej Lewenstein
2015	J	`jnl`	Trace distance measure of coherence. CoRR Swapan Rana, Preeti Parashar, Maciej Lewenstein
2014	J	`jnl`	ClassSTRONG: Classical simulations of strong field processes. Comput. Phys. Commun. Marcelo F. Ciappina, José Antonio Pérez-Hernández, Maciej Lewenstein
2012	J	`jnl`	Distribution of entanglement in networks of bi-partite full-rank mixed states. Quantum Inf. Comput. G. J. Lapeyre, Sébastien Perseguers, Maciej Lewenstein, Antonio Acín
2009	J	`jnl`	Towards measurable bounds on entanglement measures. Quantum Inf. Process. Remigiusz Augusiak, Maciej Lewenstein
2004	J	`jnl`	Simplifying schmidt number witnesses via higher-dimensional embeddings. Quantum Inf. Comput. Florian Hulpke, Dagmar Bruß, Maciej Lewenstein, Anna Sanpera
1994	J	`jnl`	Local Noise in Neural Networks Models with Self-Control. Int. J. Neural Syst. Michal Zochowski, Maciej Lewenstein, Andrzej Nowak