Generalized Method of Moments for Stochastic Reaction Networks in Equilibrium. - Michael Backenköhler; Luca Bortolussi; Verena Wolf (CMSB, 2016)

Student Performance Prediction and Optimal Course Selection: An MDP Approach. - Michael Backenköhler; Verena Wolf (SEFM Workshops, 2017)

Data-Driven Approach Towards a Personalized Curriculum. - Michael Backenköhler; Felix Scherzinger; Adish Singla; Verena Wolf (EDM, 2018)

Moment-Based Parameter Estimation for Stochastic Reaction Networks in Equilibrium. - Michael Backenköhler; Luca Bortolussi; Verena Wolf (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Control Variates for Stochastic Simulation of Chemical Reaction Networks. - Michael Backenköhler; Luca Bortolussi; Verena Wolf (CMSB, 2019)

Bounding First Passage Times in Chemical Reaction Networks - Poster Abstract. - Michael Backenköhler; Luca Bortolussi; Verena Wolf (CMSB, 2019)

Learning Vaccine Allocation from Simulations. - Gerrit Großmann; Michael Backenköhler; Jonas Klesen; Verena Wolf (COMPLEX NETWORKS (1), 2020)

Bounding Mean First Passage Times in Population Continuous-Time Markov Chains. - Michael Backenköhler; Luca Bortolussi; Verena Wolf (QEST, 2020)

Importance of Interaction Structure and Stochasticity for Epidemic Spreading: A COVID-19 Case Study. - Gerrit Großmann; Michael Backenköhler; Verena Wolf (QEST, 2020)

Epidemic overdispersion strengthens the effectiveness of mobility restrictions. - Gerrit Großmann; Michael Backenköhler; Verena Wolf (HSCC, 2021)

Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models. - Michael Backenköhler; Luca Bortolussi; Gerrit Großmann; Verena Wolf (QEST, 2021)

Analysis of Markov Jump Processes under Terminal Constraints. - Michael Backenköhler; Luca Bortolussi; Gerrit Großmann; Verena Wolf (TACAS (1), 2021)

GINA: Neural Relational Inference From Independent Snapshots. - Gerrit Großmann; Julian Zimmerlin; Michael Backenköhler; Verena Wolf (CoRR, 2021)

Variance Reduction in Stochastic Reaction Networks Using Control Variates. - Michael Backenköhler; Luca Bortolussi; Verena Wolf (Principles of Systems Design, 2022)

Analysis of Markovian Population Models. - Michael Backenköhler (2022)

Unsupervised relational inference using masked reconstruction. - Gerrit Großmann; Julian Zimmerlin; Michael Backenköhler; Verena Wolf (Appl. Netw. Sci., 2023)

Guided Docking as a Data Generation Approach Facilitates Structure-Based Machine Learning on Kinases. - Michael Backenköhler; Joschka Groß; Verena Wolf; Andrea Volkamer (J. Chem. Inf. Model., 2024)