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Precision Learning

Precision Learning is a research direction, seeking
to integrate known operators into machine learning models to improve
generalization und efficiency.

Known operators have been shown to hold the
potential of reducing maximal error bounds when incorporated into deep
neural networks. This suggests their inclusion could allow models to
learn from less data and increase robustness.

Colloqium timetable

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Projects

Publications

Persons

Christopher Syben, M. Sc.

Farnaz Khun Jush, M. Sc.

Leonid Mill, M. Sc.

Mayank Patwari, M. Sc.

Tristan Gottschalk, M. Sc.

Dr. Yixing Huang, M. Sc.