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cs.LG2024
Positive concave deep equilibrium models
Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante
Deep equilibrium (DEQ) models are widely recognized as a memory efficient alternative to standard neural networks, achieving state-of-the-art performance in language modeling and c…
cs.LG2017
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach
Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa +1
Non-orthogonal multiple access (NOMA) has emerged as a promising radio access technique for enabling the performance enhancements promised by the fifth-generation (5G) networks in…