Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider. - Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Thomas James; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Nicolò Ghielmetti; Maksymilian Graczyk; Sioni Summers; Jennifer Ngadiuba; Thong Q. Nguyen; et al. (Nat. Mach. Intell., 2022)

Author Correction: Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider. - Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Thomas James; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Nicolò Ghielmetti; Maksymilian Graczyk; Sioni Summers; Jennifer Ngadiuba; Thong Q. Nguyen; et al. (Nat. Mach. Intell., 2022)

Quantum anomaly detection in the latent space of proton collision events at the LHC. - Kinga Anna Wozniak; Vasilis Belis; Ema Puljak; Panagiotis Kl. Barkoutsos; Günther Dissertori; Michele Grossi; Maurizio Pierini; Florentin Reiter; Ivano Tavernelli; Sofia Vallecorsa (CoRR, 2023)

Unravelling physics beyond the standard model with classical and quantum anomaly detection. - Julian Schuhmacher; Laura Boggia; Vasilis Belis; Ema Puljak; Michele Grossi; Maurizio Pierini; Sofia Vallecorsa; Francesco Tacchino; Panagiotis Kl. Barkoutsos; Ivano Tavernelli (Mach. Learn. Sci. Technol., 2023)

tn4ml: Tensor Network Training and Customization for Machine Learning. - Ema Puljak; Sergio Sánchez Ramírez; Sergi Masot-Llima; Jofre Vallès-Muns; Artur García-Sáez; Maurizio Pierini (CoRR, 2025)

Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC. - Ema Puljak; Maurizio Pierini; Artur García-Sáez (CoRR, 2025)