Hybrid Learning: Definition and Role in Inference and Control

The definition and key concepts of hybrid learning are introduced. The utilization of both continuous dynamics, used to train a collection of learning models, and discrete dynamics, used to describe a structural or logical relationship between them, is motivated in the context of explainability and robustness. The role of hybrid learning in inference and control and its connections to neurosymbolic artificial intelligence is introduced. Finally, a preview of the main points discussed in the tutorial is given.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11187104
Primary Topic
Innovative Teaching and Learning Methods
Type
article
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article

Hybrid Learning: Definition and Role in Inference and Control

Christos N. Mavridis, John S. Baras
Innovative Teaching and Learning Methods
article

Hybrid Learning: Definition and Role in Inference and Control

Christos N. Mavridis, John S. Baras
article en

Abstract

The definition and key concepts of hybrid learning are introduced. The utilization of both continuous dynamics, used to train a collection of learning models, and discrete dynamics, used to describe a structural or logical relationship between them, is motivated in the context of explainability and robustness. The role of hybrid learning in inference and control and its connections to neurosymbolic artificial intelligence is introduced. Finally, a preview of the main points discussed in the tutorial is given.

University of Maryland, College Park (US), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 69%
Innovative Teaching and Learning Methods
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