A novel one-layer recurrent neural network for the l1-regularized least square problem. - Majid Mohammadi 001; Yao-Hua Tan; Wout Hofman; S. Hamid Mousavi (Neurocomputing, 2018)

A Double-Dictionary Approach Learns Component Means and Variances for V1 Encoding. - S. Hamid Mousavi; Jakob Drefs; Jörg Lücke (LOD (2), 2020)

Maximal Causes for Exponential Family Observables. - S. Hamid Mousavi; Jakob Drefs; Florian Hirschberger; Jörg Lücke (CoRR, 2020)

Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data. - S. Hamid Mousavi; Mareike Buhl; Enrico Guiraud; Jakob Drefs; Jörg Lücke (Entropy, 2021)

Generalized Variant Support Vector Machine. - Majid Mohammadi 001; S. Hamid Mousavi; Sohrab Effati (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables. - S. Hamid Mousavi; Jakob Drefs; Florian Hirschberger; Jörg Lücke (J. Mach. Learn. Res., 2023)

Linear and Nonlinear Generative Models for 'Zero-Shot' Image Denoising in the Limit of Few Photons. - S. Hamid Mousavi; Jörg Lücke (J. Math. Imaging Vis., 2025)