Verena Wolf

Verena Wolf

Universität des Saarlandes

H-index: 25

Europe-Germany

About Verena Wolf

Verena Wolf, With an exceptional h-index of 25 and a recent h-index of 14 (since 2020), a distinguished researcher at Universität des Saarlandes, specializes in the field of Stochastic Modelling, Computational Probability, Complex Networks, Stochastic Systems.

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

Guided docking as a data generation approach facilitates structure-based machine learning on kinases

Unsupervised relational inference using masked reconstruction

DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning–Extended Version

XAI Requirements in Smart Production Processes: A Case Study

TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications

4 Working groups 4.1 Intelligent Modeling and Simulation Lifecycle

Variance reduction in stochastic reaction networks using control variates

MoGym: Using Formal Models for Training and Verifying Decision-making Agents

Verena Wolf Information

University

Position

Professor of Computer Science Saarland Informatics Campus

Citations(all)

2615

Citations(since 2020)

911

Cited By

2131

hIndex(all)

25

hIndex(since 2020)

14

i10Index(all)

49

i10Index(since 2020)

25

Email

University Profile Page

Universität des Saarlandes

Google Scholar

View Google Scholar Profile

Verena Wolf Skills & Research Interests

Stochastic Modelling

Computational Probability

Complex Networks

Stochastic Systems

Top articles of Verena Wolf

Title

Journal

Author(s)

Publication Date

Guided docking as a data generation approach facilitates structure-based machine learning on kinases

Michael Backenköhler

Joschka Groß

Verena Wolf

Andrea Volkamer

2024/4/12

Unsupervised relational inference using masked reconstruction

Applied Network Science

Gerrit Großmann

Julian Zimmerlin

Michael Backenköhler

Verena Wolf

2023/4/3

DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning–Extended Version

ACM Transactions on Modeling and Computer Simulation

Timo P Gros

Joschka Gross

Daniel Höller

Jörg Hoffmann

Michaela Klauck

...

2023/10/26

XAI Requirements in Smart Production Processes: A Case Study

Deborah Baum

Kevin Baum

Timo P Gros

Verena Wolf

2023/7/26

TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications

Michael Backenköhler

Paula Linh Kramer

Joschka Groß

Gerrit Großmann

Roman Joeres

...

2023/5/29

4 Working groups 4.1 Intelligent Modeling and Simulation Lifecycle

Computer Science Methods for Effective and Sustainable Simulation Studies

Wentong Cai

Philipp Andelfinger

Luca Bortolussi

Christopher Carothers

Dong Kevin Jin

...

2023/5

Variance reduction in stochastic reaction networks using control variates

Michael Backenköhler

Luca Bortolussi

Verena Wolf

2022/12/29

MoGym: Using Formal Models for Training and Verifying Decision-making Agents

Timo P Gros

Holger Hermanns

Jörg Hoffmann

Michaela Klauck

Maximilian A Köhl

...

2022/8/6

A comprehensive approach for genome-wide efficiency profiling of DNA modifying enzymes

Cell reports methods

Charalampos Kyriakopoulos

Karl Nordström

Paula Linh Kramer

Judith Yumiko Gottfreund

Abdulrahman Salhab

...

2022/3/28

InfoLab Saar-Schülerlabor Informatik der Universität des Saarlandes

Nadine Kirsch

Kerstin Reese

Verena Wolf

2021

Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics

Plos one

Gerrit Großmann

Michael Backenköhler

Verena Wolf

2021/7/20

Correction to: DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning

Timo P Gros

Daniel Höller

Jörg Hoffmann

Michaela Klauck

Hendrik Meerkamp

...

2021

Introduction to the Special Issue on QEST 2019

David Parker

Verena Wolf

2021/7/18

Abstraction-guided truncations for stationary distributions of Markov population models

Michael Backenköhler

Luca Bortolussi

Gerrit Großmann

Verena Wolf

2021

GINA: Neural Relational Inference From Independent Snapshots

arXiv preprint arXiv:2105.14329

Gerrit Großmann

Julian Zimmerlin

Michael Backenköhler

Verena Wolf

2021/5/29

Analysis of Markov jump processes under terminal constraints

Michael Backenköhler

Luca Bortolussi

Gerrit Großmann

Verena Wolf

2021

Epidemic overdispersion strengthens the effectiveness of mobility restrictions

Gerrit Großmann

Michael Backenköhler

Verena Wolf

2021/5/19

Learning vaccine allocation from simulations

Gerrit Großmann

Michael Backenköhler

Jonas Klesen

Verena Wolf

2021

Why ODE models for COVID-19 fail: Heterogeneity shapes epidemic dynamics

medRxiv

Gerrit Großmann

Michael Backenköhler

Verena Wolf

2021/3/26

Visualisierung der Ausführung von Microbenchmarks auf aktuellen Prozessoren

Till Ganster

Jan Reineke

Andreas Abel

Verena Wolf

2021/11/8

See List of Professors in Verena Wolf University(Universität des Saarlandes)

Co-Authors

H-index: 117
Thomas Henzinger

Thomas Henzinger

Institute of Science and Technology Austria

H-index: 56
Holger Hermanns

Holger Hermanns

Universität des Saarlandes

H-index: 55
Christel Baier

Christel Baier

Technische Universität Dresden

H-index: 40
Jan Hasenauer

Jan Hasenauer

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 38
Martin Leucker

Martin Leucker

Universität zu Lübeck

H-index: 32
Luca Bortolussi

Luca Bortolussi

Università degli Studi di Trieste

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