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Claudio Ferretti and Martina Saletta
State-of-the-art neural networks build an internal model of the training data, tailored to a given classification task. The study of such a model is of interest, and therefore, research on explainable artificial intelligence (XAI) aims at investigating i...
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Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Ngan Le and Khoa Luu
Flow-based generative models have recently become one of the most efficient approaches to model data generation. Indeed, they are constructed with a sequence of invertible and tractable transformations. Glow first introduced a simple type of generative f...
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Bo Yang, Ruwei Huang and Jianan Zhao
Key-dependent message (KDM) security is of great research significance, to better analyse and solve the potential security problems in complex application scenarios. Most of the current KDM security schemes are based on traditional hard mathematical prob...
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Francesca Vatta, Alessandro Soranzo, Massimiliano Comisso, Giulia Buttazzoni and Fulvio Babich
Low Density Parity Check (LDPC) codes are currently being deeply analyzed through algorithms that require the capability of addressing their iterative decoding convergence performance. Since it has been observed that the probability distribution function...
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Lukas Boxberger, Linda Weisheit, Sebastian Hensel, Julia Schellnock, Danilo Mattheß, Frank Riedel and Welf-Guntram Drossel
Many living beings show the ability and necessity to develop invertible, tubular structures to enable additional functions temporarily. The biological archetypes always demonstrate a high change of volume of the structure between an inactive and active s...
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Yeo, B.T.T.; Wanmei Ou; Golland, P.
Pág. 283 - 300
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M. Cao, K.W. Wang, and Kwang Y. Lee
Pág. 731 - 751
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Secker, A. Taubman, D.
Pág. 1530 - 1542
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Bitzer, D L; Dholakia, A
Pág. 420 - 422
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