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Michael Small

23PUBLICATIONS
22CO-AUTHORS
Reinforcement learningDynamical systems in applicationsSemi- and unsupervised learningData structures and algorithmsSequence analysis
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Publications (23)

Sort by Publication Date:
|Apr 30, 2022
A tighter generalization bound for reservoir computing.

Xinyu Han, Yi Zhao, Michael Small

|Apr 02, 2022
Reservoir time series analysis: Using the response of complex dynamical systems as a universal indicator of change.

Braden Thorne, Thomas Jüngling, Michael Small

|Jan 01, 2022
Grading your models: Assessing dynamics learning of models using persistent homology.

Eugene Tan, Débora Corrêa, Thomas Stemler

|Apr 03, 2021
Revisiting the memory capacity in reservoir computing of directed acyclic network.

Xinyu Han, Yi Zhao, Michael Small

|Apr 03, 2021
Reservoir computing with swarms.

Thomas Lymburn, Shannon D Algar, Michael Small

|Apr 03, 2021
Parameter extraction with reservoir computing: Nonlinear time series analysis and application to industrial maintenance.

Braden Thorne, Thomas Jüngling, Michael Small

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Frequent Collaborators

5 joint publications

Thomas Jüngling

4 joint publications

Thomas Stemler

4 joint publications

Débora Cristina Corrêa

4 joint publications

Thomas Lymburn

3 joint publications

David M Walker

3 joint publications

Yi Zhao

2 joint publications

Ke-Ke Shang

2 joint publications

Braden Thorne

2 joint publications

Ayham Zaitouny

1 joint publications

Xinyu Han

Frequent Collaborators

5 joint publications

Thomas Jüngling

4 joint publications

Thomas Stemler

4 joint publications

Débora Cristina Corrêa

4 joint publications

Thomas Lymburn

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