169 citations · 818 across the 32 of their papers we have counts for
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stat.ML2022★ 116 cited
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
Lei Cheng, Feng Yin, Sergios Theodoridis +2
Sparse modeling for signal processing and machine learning has been at the focus of scientific research for over two decades. Among others, supervised sparsity-aware learning compr…
cs.ET2022★ 9 cited
Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing
George Sarantoglou, Adonis Bogris, Charis Mesaritakis +1
Artificial neural networks are efficient computing platforms inspired by the brain. Such platforms can tackle a vast area of real-life tasks ranging from image processing to langua…