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Michael Backenköhler
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2020 – today
- 2024
- [j3]Michael Backenköhler
, Joschka Groß, Verena Wolf, Andrea Volkamer
:
Guided Docking as a Data Generation Approach Facilitates Structure-Based Machine Learning on Kinases. J. Chem. Inf. Model. 64(10): 4009-4020 (2024) - 2023
- [j2]Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler, Verena Wolf:
Unsupervised relational inference using masked reconstruction. Appl. Netw. Sci. 8(1): 18 (2023) - 2022
- [b1]Michael Backenköhler:
Analysis of Markovian Population Models. Saarland University, Germany, 2022 - [c12]Michael Backenköhler, Luca Bortolussi, Verena Wolf:
Variance Reduction in Stochastic Reaction Networks Using Control Variates. Principles of Systems Design 2022: 456-474 - 2021
- [c11]Gerrit Großmann, Michael Backenköhler, Verena Wolf:
Epidemic overdispersion strengthens the effectiveness of mobility restrictions. HSCC 2021: 31:1-31:2 - [c10]Michael Backenköhler, Luca Bortolussi, Gerrit Großmann, Verena Wolf:
Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models. QEST 2021: 351-371 - [c9]Michael Backenköhler, Luca Bortolussi, Gerrit Großmann, Verena Wolf:
Analysis of Markov Jump Processes under Terminal Constraints. TACAS (1) 2021: 210-229 - [i5]Michael Backenköhler, Luca Bortolussi, Gerrit Großmann, Verena Wolf:
Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models. CoRR abs/2105.01536 (2021) - [i4]Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler, Verena Wolf:
GINA: Neural Relational Inference From Independent Snapshots. CoRR abs/2105.14329 (2021) - [i3]Michael Backenköhler, Luca Bortolussi, Verena Wolf:
Variance Reduction in Stochastic Reaction Networks using Control Variates. CoRR abs/2110.09143 (2021) - 2020
- [c8]Gerrit Großmann, Michael Backenköhler, Jonas Klesen, Verena Wolf:
Learning Vaccine Allocation from Simulations. COMPLEX NETWORKS (1) 2020: 432-443 - [c7]Michael Backenköhler, Luca Bortolussi
, Verena Wolf:
Bounding Mean First Passage Times in Population Continuous-Time Markov Chains. QEST 2020: 155-174 - [c6]Gerrit Großmann, Michael Backenköhler, Verena Wolf:
Importance of Interaction Structure and Stochasticity for Epidemic Spreading: A COVID-19 Case Study. QEST 2020: 211-229 - [i2]Michael Backenköhler, Luca Bortolussi, Gerrit Großmann, Verena Wolf:
Analysis of Markov Jump Processes under Terminal Constraints. CoRR abs/2010.10096 (2020)
2010 – 2019
- 2019
- [c5]Michael Backenköhler, Luca Bortolussi
, Verena Wolf:
Control Variates for Stochastic Simulation of Chemical Reaction Networks. CMSB 2019: 42-59 - [c4]Michael Backenköhler, Luca Bortolussi
, Verena Wolf:
Bounding First Passage Times in Chemical Reaction Networks - Poster Abstract. CMSB 2019: 379-382 - [i1]Michael Backenköhler, Luca Bortolussi, Verena Wolf:
Bounding Mean First Passage Times in Population Continuous-Time Markov Chains. CoRR abs/1910.12562 (2019) - 2018
- [j1]Michael Backenköhler
, Luca Bortolussi
, Verena Wolf:
Moment-Based Parameter Estimation for Stochastic Reaction Networks in Equilibrium. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1180-1192 (2018) - [c3]Michael Backenköhler, Felix Scherzinger, Adish Singla, Verena Wolf:
Data-Driven Approach Towards a Personalized Curriculum. EDM 2018 - 2017
- [c2]Michael Backenköhler, Verena Wolf:
Student Performance Prediction and Optimal Course Selection: An MDP Approach. SEFM Workshops 2017: 40-47 - 2016
- [c1]Michael Backenköhler, Luca Bortolussi
, Verena Wolf:
Generalized Method of Moments for Stochastic Reaction Networks in Equilibrium. CMSB 2016: 15-29
Coauthor Index
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last updated on 2024-06-19 21:02 CEST by the dblp team
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