Max Berrendorf

About Max Berrendorf

Max Berrendorf, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München,

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

Compendium of Neurosymbolic Artificial Intelligence 373 P. Hitzler et al.(Eds.) IOS Press, 2023© 2023 The authors and IOS Press. All rights reserved.

Cross-domain argument quality estimation

Neural network model of Electron density in the Topside ionosphere (NET)

A novel neural network model of Earth’s topside ionosphere

A Neural network model of Electron density in Earth’s Topside ionosphere (NET)

Model files for the Neural network-based model of Electron density in the Topside ionosphere (NET)

Approximate answering of graph queries

Machine learning for managing structured and semi-structured data

Max Berrendorf Information

University

Position

PhD Student

Citations(all)

579

Citations(since 2020)

577

Cited By

41

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Top articles of Max Berrendorf

Title

Journal

Author(s)

Publication Date

Compendium of Neurosymbolic Artificial Intelligence 373 P. Hitzler et al.(Eds.) IOS Press, 2023© 2023 The authors and IOS Press. All rights reserved.

Pascal Hitzler

Md Kamruzzaman Sarker

Aaron Eberhart

2023

Cross-domain argument quality estimation

Michael Fromm

Max Berrendorf

Evgeniy Faerman

Thomas Seidl

2023/7

Neural network model of Electron density in the Topside ionosphere (NET)

EGU General Assembly Conference Abstracts

Artem Smirnov

Yuri Shprits

Hermann Lühr

Fabricio Prol

Chao Xiong

2023/5

A novel neural network model of Earth’s topside ionosphere

Scientific reports

Artem Smirnov

Yuri Shprits

Fabricio Prol

Hermann Lühr

Max Berrendorf

...

2023/1/24

A Neural network model of Electron density in Earth’s Topside ionosphere (NET)

Artem Smirnov

Yuri Shprits

Fabricio Prol

Hermann Lühr

Max Berrendorf

...

2023/8/19

Model files for the Neural network-based model of Electron density in the Topside ionosphere (NET)

Artem Smirnov

Yuri Shprits

Fabricio Prol

Hermann Lühr

Max Berrendorf

...

2023

Approximate answering of graph queries

Compendium of Neurosymbolic Artificial Intelligence, IOS Press

Michael Cochez

Dimitrios Alivanistos

Erik Arakelyan

Max Berrendorf

Daniel Daza

...

2023/8/12

Machine learning for managing structured and semi-structured data

Max Berrendorf

2022/1/18

Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations.

Sandra Gilhuber

Max Berrendorf

Yunpu Ma

Thomas Seidl

2022/9/23

Query Embedding on Hyper-relational Knowledge Graphs

Dimitrios Alivanistos

Max Berrendorf

Michael Cochez

Mikhail Galkin

2022

Reinforcement learning for multi-agent stochastic resource collection

Niklas Strauss

David Winkel

Max Berrendorf

Matthias Schubert

2022/9/19

Towards a holistic view on argument quality prediction

arXiv preprint arXiv:2205.09803

Michael Fromm

Max Berrendorf

Johanna Reiml

Isabelle Mayerhofer

Siddharth Bhargava

...

2022/5/19

A unified framework for rank-based evaluation metrics for link prediction in knowledge graphs

arXiv preprint arXiv:2203.07544

Charles Tapley Hoyt

Max Berrendorf

Mikhail Galkin

Volker Tresp

Benjamin M Gyori

2022/3/14

An open challenge for inductive link prediction on knowledge graphs

arXiv preprint arXiv:2203.01520

Mikhail Galkin

Max Berrendorf

Charles Tapley Hoyt

2022/3/3

A Comparison of Ambulance Redeployment Systems on Real-World Data

Niklas Strauß

Max Berrendorf

Tom Haider

Matthias Schubert

2022/11/28

A critical assessment of state-of-the-art in entity alignment

Max Berrendorf

Ludwig Wacker

Evgeniy Faerman

2021

Pykeen 1.0: A python library for training and evaluating knowledge graph embeddings

Journal of Machine Learning Research

Mehdi Ali

Max Berrendorf

Charles Tapley Hoyt

Laurent Vermue

Sahand Sharifzadeh

...

2021

Improving visual relation detection using depth maps

Sahand Sharifzadeh

Sina Moayed Baharlou

Max Berrendorf

Rajat Koner

Volker Tresp

2021/1/10

On the generalization of agricultural drought classification from climate data

arXiv preprint arXiv:2111.15452

Julia Gottfriedsen

Max Berrendorf

Pierre Gentine

Markus Reichstein

Katja Weigel

...

2021/11/30

Improving inductive link prediction using hyper-relational facts

Mehdi Ali

Max Berrendorf

Mikhail Galkin

Veronika Thost

Tengfei Ma

...

2021

See List of Professors in Max Berrendorf University(Ludwig-Maximilians-Universität München)

Co-Authors

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