Laurenz Wiskott

Laurenz Wiskott

Ruhr-Universität Bochum

H-index: 41

Europe-Germany

About Laurenz Wiskott

Laurenz Wiskott, With an exceptional h-index of 41 and a recent h-index of 22 (since 2020), a distinguished researcher at Ruhr-Universität Bochum, specializes in the field of computational neuroscience, machine learning, unsupervised learning, hippocampus.

His recent articles reflect a diverse array of research interests and contributions to the field:

tachAId—An interactive tool supporting the design of human-centered AI solutions

ProtoP-OD: Explainable Object Detection with Prototypical Parts

Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks

A Tutorial on the Spectral Theory of Markov Chains (vol 35, pg 1713, 2023)

Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?

Gaining Insights into Course Difficulty Variations Using Item Response Theory

Comparing Auxiliary Tasks for Learning Representations for Reinforcement Learning

Modeling the function of episodic memory in spatial learning

Laurenz Wiskott Information

University

Position

Professor of Theory of Neural Systems Institut für Neuroinformatik

Citations(all)

13224

Citations(since 2020)

2602

Cited By

11608

hIndex(all)

41

hIndex(since 2020)

22

i10Index(all)

74

i10Index(since 2020)

46

Email

University Profile Page

Ruhr-Universität Bochum

Google Scholar

View Google Scholar Profile

Laurenz Wiskott Skills & Research Interests

computational neuroscience

machine learning

unsupervised learning

hippocampus

Top articles of Laurenz Wiskott

Title

Journal

Author(s)

Publication Date

tachAId—An interactive tool supporting the design of human-centered AI solutions

Frontiers in Artificial Intelligence

Max Bauroth

Pavlos Rath-Manakidis

Valentin Langholf

Laurenz Wiskott

Tobias Glasmachers

2024/3/12

ProtoP-OD: Explainable Object Detection with Prototypical Parts

arXiv preprint arXiv:2402.19142

Pavlos Rath-Manakidis

Frederik Strothmann

Tobias Glasmachers

Laurenz Wiskott

2024/2/29

Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks

arXiv preprint arXiv:2402.12067

Moritz Lange

Raphael C Engelhardt

Wolfgang Konen

Laurenz Wiskott

2024/2/19

A Tutorial on the Spectral Theory of Markov Chains (vol 35, pg 1713, 2023)

Eddie Seabrook

Laurenz Wiskott

2023/10/10

Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?

arXiv preprint arXiv:2401.09237

Jan Rathjens

Laurenz Wiskott

2024/1/17

Gaining Insights into Course Difficulty Variations Using Item Response Theory

Frederik Baucks*

Robin Schmucker*

Laurenz Wiskott

2024/3

Comparing Auxiliary Tasks for Learning Representations for Reinforcement Learning

arXiv preprint arXiv:2310.04241

Moritz Lange

Noah Krystiniak

Raphael C Engelhardt

Wolfgang Konen

Laurenz Wiskott

2023/10/6

Modeling the function of episodic memory in spatial learning

Frontiers in Psychology

Xiangshuai Zeng

Nicolas Diekmann

Laurenz Wiskott

Sen Cheng

2023/4/17

Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning

Raphael C Engelhardt

Ralitsa Raycheva

Moritz Lange

Laurenz Wiskott

Wolfgang Konen

2023/9/22

Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning

Cognitive Computation

Malte Schilling

Barbara Hammer

Frank W Ohl

Helge J Ritter

Laurenz Wiskott

2023/1/20

Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison

Moritz Lange

Noah Krystiniak

Raphael C Engelhardt

Wolfgang Konen

Laurenz Wiskott

2023/9/22

Ein Dashboard für die Studienberatung: Technische Infrastruktur und Studienverlaufsplanung im Projekt KI: edu. nrw

Frederik Baucks

Jonas Leschke

Christian Metzger

Laurenz Wiskott

2023

Iterative Oblique Decision Trees Deliver Explainable RL Models

Algorithms

Raphael C Engelhardt

Marc Oedingen

Moritz Lange

Laurenz Wiskott

Wolfgang Konen

2023/5/31

Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures

Frederik Baucks

Laurenz Wiskott

2023

A map of spatial navigation for neuroscience

Eloy Parra-Barrero

Sandhiya Vijayabaskaran

Eddie Seabrook

Laurenz Wiskott

Sen Cheng

2023/5/11

Tracing Changes in University Course Difficulty Using Item Response Theory

Frederik Baucks*

Robin Schmucker*

Laurenz Wiskott

2023/2

Sample-Based Rule Extraction for Explainable Reinforcement Learning

Raphael C Engelhardt

Moritz Lange

Laurenz Wiskott

Wolfgang Konen

2022/9/19

A model of semantic completion in generative episodic memory

Neural Computation

Zahra Fayyaz

Aya Altamimi

Carina Zoellner

Nicole Klein

Oliver T Wolf

...

2022/8/16

Face recognition by elastic bunch graph matching

Laurenz Wiskott

Jean-Marc Fellous

Nobert Krüger

Christoph Von Der Malsburg

2022/1/26

Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach.

International Educational Data Mining Society

Frederik Baucks

Laurenz Wiskott

2022

See List of Professors in Laurenz Wiskott University(Ruhr-Universität Bochum)

Co-Authors

H-index: 66
Christoph von der Malsburg

Christoph von der Malsburg

Goethe-Universität Frankfurt am Main

H-index: 43
Norbert Krueger

Norbert Krueger

Syddansk Universitet

H-index: 41
Justus Piater

Justus Piater

Universität Innsbruck

H-index: 32
Robert Legenstein

Robert Legenstein

Technische Universität Graz

H-index: 28
Asja Fischer

Asja Fischer

Ruhr-Universität Bochum

H-index: 25
Sinan Kalkan

Sinan Kalkan

Orta Dogu Teknik Üniversitesi

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