Unsupervised Unlearning of Concept Drift with Autoencoders

1 code implementation • 23 Nov 2022 • André Artelt, Kleanthis Malialis, Christos Panayiotou, Marios Polycarpou, Barbara Hammer

Consequently, learning models operating on the data stream might become obsolete, and need costly and difficult adjustments such as retraining or adaptation.

Incremental Learning

One Explanation to Rule them All -- Ensemble Consistent Explanations

1 code implementation • 18 May 2022 • André Artelt, Stelios Vrachimis, Demetrios Eliades, Marios Polycarpou, Barbara Hammer

Transparency is a major requirement of modern AI based decision making systems deployed in real world.

counterfactual Decision Making

Nonlinear Discrete-time System Identification without Persistence of Excitation: Finite-time Concurrent Learning Methods

no code implementations • 14 Dec 2021 • Farzaneh Tatari, Christos Panayiotou, Marios Polycarpou

This paper deals with the problem of finite-time learning for unknown discrete-time nonlinear systems' dynamics, without the requirement of the persistence of excitation.