Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias

With the impressive progress of deep learning, applications relying on machine learning are increasingly being integrated into daily life. However, most deep learning models have an opaque, oracle-like nature making it difficult to interpret and understand their decisions. This problem led to the de...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	LeMaitre, Philip A, Krumm, Marius, Briegel, Hans J
Format:	Artikel
Sprache:	eng
Schlagworte:	Apexes Artificial intelligence Bias Complexity Deep learning Excitation Explainable artificial intelligence Graph theory Graphs Interaction models Machine learning Polynomials Random walk Simulation
Online-Zugang:	Volltext
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