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A Scheme for Adaptive Selection of Population Sizes in Approximate Bayesian Computation - Sequential Monte Carlo., and . CMSB, volume 10545 of Lecture Notes in Computer Science, page 128-144. Springer, (2017)Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering., , , and . Bioinform., 34 (13): i494-i501 (2018)Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems., , , , , , , , , and 10 other author(s). Bioinform., 31 (21): 3558-3560 (2015)A More Expressive Spline Representation for SBML Models Improves Code Generation Performance in AMICI., , , and . CMSB, volume 14137 of Lecture Notes in Computer Science, page 36-43. Springer, (2023)Assessment of Uncertainty Quantification in Universal Differential Equations., , , and . CoRR, (2024)Accessibility of covariance information creates vulnerability in Federated Learning frameworks., , , , , and . Bioinform., (September 2023)A maximum likelihood estimator for parameter distributions in heterogeneous cell populations., , , , , and . ICCS, volume 1 of Procedia Computer Science, page 1655-1663. Elsevier, (2010)Efficient gradient-based parameter estimation for dynamic models using qualitative data., , and . Bioinform., 37 (23): 4493-4500 (2021)Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines., , , , , , , , and . PLoS Comput. Biol., (2020)Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks, , , and . PLOS Computational Biology, 13 (1): e1005331+ (Jan 23, 2017)