Michael Backenköhler

Orcid: 0000-0002-7913-2932

According to our database1, Michael Backenköhler authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Guided Docking as a Data Generation Approach Facilitates Structure-Based Machine Learning on Kinases.
J. Chem. Inf. Model., 2024

2023
Unsupervised relational inference using masked reconstruction.
Appl. Netw. Sci., December, 2023

2022
Analysis of Markovian Population Models.
PhD thesis, 2022

Variance Reduction in Stochastic Reaction Networks Using Control Variates.
Proceedings of the Principles of Systems Design, 2022

2021
GINA: Neural Relational Inference From Independent Snapshots.
CoRR, 2021

Analysis of Markov Jump Processes under Terminal Constraints.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2021

Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models.
Proceedings of the Quantitative Evaluation of Systems - 18th International Conference, 2021

Epidemic overdispersion strengthens the effectiveness of mobility restrictions.
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

2020
Importance of Interaction Structure and Stochasticity for Epidemic Spreading: A COVID-19 Case Study.
Proceedings of the Quantitative Evaluation of Systems - 17th International Conference, 2020

Bounding Mean First Passage Times in Population Continuous-Time Markov Chains.
Proceedings of the Quantitative Evaluation of Systems - 17th International Conference, 2020

Learning Vaccine Allocation from Simulations.
Proceedings of the Complex Networks & Their Applications IX, 2020

2019
Bounding First Passage Times in Chemical Reaction Networks - Poster Abstract.
Proceedings of the Computational Methods in Systems Biology, 2019

Control Variates for Stochastic Simulation of Chemical Reaction Networks.
Proceedings of the Computational Methods in Systems Biology, 2019

2018
Moment-Based Parameter Estimation for Stochastic Reaction Networks in Equilibrium.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Data-Driven Approach Towards a Personalized Curriculum.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017
Student Performance Prediction and Optimal Course Selection: An MDP Approach.
Proceedings of the Software Engineering and Formal Methods, 2017

2016
Generalized Method of Moments for Stochastic Reaction Networks in Equilibrium.
Proceedings of the Computational Methods in Systems Biology, 2016


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