Dimitrov, I.; Fioresi, R., GENERALIZED ROOT SYSTEMS, «TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY. SERIES B», 2024, 11, pp. 1462 - 1508 [articolo]Open Access
Lapenna, M.; Tsamos, A.; Faglioni, F.; Fioresi, R.; Zanchetta, F.; Bruno, G., Geometric deep learning for enhanced quantitative analysis of microstructures in X-ray computed tomography data, «DISCOVER APPLIED SCIENCES», 2024, 6, Article number: 313, pp. 1 - 10 [articolo]Open Access
Chuah, M. -K.; Cremonini, C. A.; Fioresi, R., Harmonic analysis of compact Lie supergroups, «EXPOSITIONES MATHEMATICAE», 2024, 1, Article number: 125586, pp. 1 - 13 [articolo]Open Access
Fioresi, R.; Yuncken, R., QUANTIZED SEMISIMPLE LIE GROUPS, «ARCHIVUM MATHEMATICUM», 2024, 60, pp. 311 - 349 [articolo]Open Access
Petkovic, J.; Fioresi, R., Spontaneous Emergence of Robustness to Light Variation in CNNs With a Precortically Inspired Module, «NEURAL COMPUTATION», 2024, 36, pp. 1832 - 1853 [articolo]
Ercolessi, E.; Fioresi, R.; Weber, T., The geometry of quantum computing, «INTERNATIONAL JOURNAL OF GEOMETRIC METHODS IN MODERN PHYSICS», 2024, 21, Article number: 2440011, pp. 1 - 24 [articolo]Open Access
Tsamos, A.; Evsevleev, S.; Fioresi, R.; Faglioni, F.; Bruno, G., A novel iterative algorithm to improve segmentations with deep convolutional neural networks trained with synthetic X-ray computed tomography data (i.S.Sy.Da.T.A), «COMPUTATIONAL MATERIALS SCIENCE», 2023, 223, pp. 112112 - 112117 [articolo]
R. Fioresi, F. Zanchetta, Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists., «INTERNATIONAL JOURNAL OF GEOMETRIC METHODS IN MODERN PHYSICS», 2023, 20, pp. N/A - N/A [articolo]
Fioresi, R.; Zanchetta, F., Deep learning and geometric deep learning: An introduction for mathematicians and physicists, «INTERNATIONAL JOURNAL OF GEOMETRIC METHODS IN MODERN PHYSICS», 2023, 20, Article number: 2330006, pp. 1 - 49 [articolo]
M. Lapenna, F. Faglioni, F. Zanchetta, R.Fioresi, Geometric Deep Learning: a temperature based analysis of graph neural networks., in: Geometric Science of Information 6th International Conference, GSI 2023, St. Malo, France, August 30 – September 1, 2023, Proceedings, Part II, 2023, pp. N/A - N/A (atti di: GSI23, St Malo, 30/08/2023-01/09/2023) [Contributo in Atti di convegno]
Fioresi, R.; Varadarajan, V. S., Harish-Chandra Highest Weight Representations of Semisimple Lie Algebras and Lie Groups, «JOURNAL OF LIE THEORY», 2023, 33, pp. 217 - 252 [articolo]
Fioresi, R.; Lledo, M. A.; Razzaq, J., Quantum Chiral Superfields, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2023, 2531, Article number: 012015, pp. 1 - 11 [articolo]
Fioresi, R; Gavarini, F, Real Forms of Complex Lie Superalgebras and Supergroups, «COMMUNICATIONS IN MATHEMATICAL PHYSICS», 2023, 397, pp. 937 - 965 [articolo]Open Access
Tsamos, Athanasios; Evsevleev, Sergei; Fioresi, Rita; Faglioni, Francesco; Bruno, Giovanni, Synthetic Data Generation for Automatic Segmentation of X-ray Computed Tomography Reconstructions of Complex Microstructures, «JOURNAL OF IMAGING», 2023, 9, pp. 22 - 44 [articolo]Open Access
Lapenna, M.; Faglioni, F.; Fioresi, R., Thermodynamics modeling of deep learning systems for a temperature based filter pruning technique, «FRONTIERS IN PHYSICS», 2023, 11, pp. 1 - 12 [articolo]
