Deep-learning-based quantum vortex detection in atomic Bose-Einstein condensates. - Friederike Metz; Juan Polo; Natalya Weber; Thomas Busch (Mach. Learn. Sci. Technol., 2021)

Scaling up the self-optimization model by means of on-the-fly computation of weights. - Natalya Weber; Werner Koch; Tom Froese (SSCI, 2022)

On the Use of Associative Memory in Hopfield Networks Designed to Solve Propositional Satisfiability Problems. - Natalya Weber; Werner Koch; Ozan Erdem; Tom Froese (SSCI, 2023)

From autopoiesis to self-optimization: Toward an enactive model of biological regulation. - Tom Froese; Natalya Weber; Ivan Shpurov; Takashi Ikegami (Biosyst., 2023)

Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning. - Natalya Weber; Christian Guckelsberger; Tom Froese (CoRR, 2025)