Christian Bauckhage

About Christian Bauckhage

Christian Bauckhage, With an exceptional h-index of 51 and a recent h-index of 34 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Pattern Recognition, Machine Learning, Web Science, Computer Games.

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

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models

Super Simple Quantum Bayesian Networks (Part 1)

Informed named entity recognition decoding for generative language models

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection

A Primer on Probabilistic Reasoning with Quantum Circuits

How Does Knowledge Injection Help in Informed Machine Learning?

SugarViT--Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet

Qubits as Bernoulli Random Variables

Christian Bauckhage Information

University

Position

Prof. of Computer Science Fraunhofer IAIS

Citations(all)

13255

Citations(since 2020)

4900

Cited By

10310

hIndex(all)

51

hIndex(since 2020)

34

i10Index(all)

178

i10Index(since 2020)

103

Email

University Profile Page

Rheinische Friedrich-Wilhelms-Universität Bonn

Google Scholar

View Google Scholar Profile

Christian Bauckhage Skills & Research Interests

Pattern Recognition

Machine Learning

Web Science

Computer Games

Top articles of Christian Bauckhage

Title

Journal

Author(s)

Publication Date

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models

Tobias Deußer

David Leonhard

Lars Hillebrand

Armin Berger

Mohamed Khaled

...

2023/12/15

Super Simple Quantum Bayesian Networks (Part 1)

Christian Bauckhage

2023

Informed named entity recognition decoding for generative language models

arXiv preprint arXiv:2308.07791

Tobias Deußer

Lars Hillebrand

Christian Bauckhage

Rafet Sifa

2023/8/15

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection

arXiv preprint arXiv:2311.15679

Maurice Günder

Sneha Banerjee

Rafet Sifa

Christian Bauckhage

2023/11/27

A Primer on Probabilistic Reasoning with Quantum Circuits

Christian Bauckhage

2023

How Does Knowledge Injection Help in Informed Machine Learning?

Laura von Rüden

Jochen Garcke

Christian Bauckhage

2023/8/2

SugarViT--Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet

arXiv preprint arXiv:2311.03076

Maurice Günder

Facundo Ramón Ispizua Yamati

Abel Andree Barreto Alcántara

Anne-Katrin Mahlein

Rafet Sifa

...

2023/11/6

Qubits as Bernoulli Random Variables

Christian Bauckhage

2023

Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021)

International Journal of Computer Vision

Christian Bauckhage

Wolfgang Förstner

Juergen Gall

Michael Möller

Alexander Schwing

2023/5

Solving Subset Sum Problems using Binary Optimization with Applications in Auditing and Financial Data Analysis

Authorea Preprints

David Biesner

Rafet Sifa

Christian Bauckhage

2023/10/30

Controlled Randomness Improves the Performance of Transformer Models

arXiv preprint arXiv:2310.13526

Tobias Deußer

Cong Zhao

Wolfgang Krämer

David Leonhard

Christian Bauckhage

...

2023/10/20

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization

arXiv preprint arXiv:2210.01241

Rajkumar Ramamurthy

Prithviraj Ammanabrolu

Kianté Brantley

Jack Hessel

Rafet Sifa

...

2022/10/3

An empirical evaluation of the Rashomon effect in explainable machine learning

Sebastian Müller

Vanessa Toborek

Katharina Beckh

Matthias Jakobs

Christian Bauckhage

...

2023/9/17

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models

Armin Berger

Lars Hillebrand

David Leonhard

Tobias Deußer

Thiago Bell Felix De Oliveira

...

2023/12/15

Contradiction detection in financial reports

Proceedings of the Northern Lights Deep Learning Workshop

Tobias Deußer

Maren Pielka

Lisa Pucknat

Basil Jacob

Tim Dilmaghani

...

2023/1/23

Improving zero-shot text matching for financial auditing with large language models

Lars Hillebrand

Armin Berger

Tobias Deußer

Tim Dilmaghani

Mohamed Khaled

...

2023/8/22

ML2R Coding Nuggets Intersection String Kernels for Language Processing

representations

Christian Bauckhage

2022

Sicherheit von Quantum Machine Learning

Wirtschaftsinformatik & Management

Eldar Sultanow

Christian Bauckhage

Christian Knopf

Nico Piatkowski

2022/4

Towards bundle adjustment for satellite imaging via quantum machine learning

Nico Piatkowski

Thore Gerlach

Romain Hugues

Rafet Sifa

Christian Bauckhage

...

2022/7/4

A new aligned simple German corpus

Vanessa Toborek

Moritz Busch

Malte Boßert

Christian Bauckhage

Pascal Welke

2023

See List of Professors in Christian Bauckhage University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

H-index: 64
Kristian Kersting

Kristian Kersting

Technische Universität Darmstadt

H-index: 42
Armin Cremers

Armin Cremers

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 24
Jérôme Kunegis

Jérôme Kunegis

Université de Namur

H-index: 24
Jochen Garcke

Jochen Garcke

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 7
abdalrahman eweiwi

abdalrahman eweiwi

Rheinische Friedrich-Wilhelms-Universität Bonn

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