Symmetry and Network Structure. - Stefan Reimann (Neural Process. Lett., 1997)

On the design of artificial auto-associative neuronal networks. - Stefan Reimann (Neural Networks, 1998)

Orientation by weighted randomness. - Stefan Reimann; Ali Mansour (Artif. Life Robotics, 2000)

The α-beauty contest: Choosing numbers, thinking intervals. - Enrico G. De Giorgi; Stefan Reimann (Games Econ. Behav., 2008)

Automated fragment identification for electron ionisation mass spectrometry: application to atmospheric measurements of halocarbons. - Myriam Guillevic; Aurore Guillevic; Martin Vollmer; Paul Schlauri; Matthias Hill; Lukas Emmenegger; Stefan Reimann (CoRR, 2021)

Automated fragment formula annotation for electron ionisation, high resolution mass spectrometry: application to atmospheric measurements of halocarbons. - Myriam Guillevic; Aurore Guillevic; Martin K. Vollmer; Paul Schlauri; Matthias Hill; Lukas Emmenegger; Stefan Reimann (J. Cheminformatics, 2021)

A novel HD Computing Algebra: Non-associative superposition of states creating sparse bundles representing order information. - Stefan Reimann (CoRR, 2022)

Items or Relations - what do Artificial Neural Networks learn? - Renate Krause; Stefan Reimann (CoRR, 2024)

Memory States From Almost Nothing: Representing and Computing in a Nonassociative Algebra. - Stefan Reimann (Neural Comput., 2025)

'Memory States' from Almost Nothing: Representing and Computing in a Non-associative Algebra. - Stefan Reimann (CoRR, 2025)