Search Results - "Engelsberger, Alexander"

Prototype-Based Classifiers and Vector Quantization on a Quantum Computer—Implementing Integer Arithmetic Oracles for Nearest Prototype Search.

Authors: Engelsberger, Alexander Pšeničkova, Magdalena Villmann, Thomas

Source: Entropy. Feb2026, Vol. 28 Issue 2, p229. 18p.

Quantum Computing Approaches for Vector Quantization—Current Perspectives and Developments.

Authors: Engelsberger, Alexander Villmann, Thomas

Source: Entropy. Mar2023, Vol. 25 Issue 3, p540. 22p.

Quantum-inspired learning vector quantizers for prototype-based classification: Confidential: for personal use only—submitted to Neural Networks and Applications 5/2020.

Authors: Villmann, Thomas Engelsberger, Alexander Ravichandran, Jensun et al.

Source: Neural Computing & Applications; Jan2022, Vol. 34 Issue 1, p79-88, 10p

FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.

Authors: Kaden, Marika Schubert, Ronny Voigt, Julius et al.

Source: Neurocomputing; May2026, Vol. 678, pN.PAG-N.PAG, 1p