Jan Hasenauer

Orcid: 0000-0002-4935-3312

According to our database1, Jan Hasenauer authored at least 64 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Hawkes Process Modelling for Chemical Reaction Networks in a Random Environment.
SIAM J. Appl. Dyn. Syst., 2024

Missing data in amortized simulation-based neural posterior estimation.
PLoS Comput. Biol., 2024

Non-Negative Universal Differential Equations With Applications in Systems Biology.
CoRR, 2024

Assessment of Uncertainty Quantification in Universal Differential Equations.
CoRR, 2024

An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Validation of genetic variants from NGS data using deep convolutional neural networks.
BMC Bioinform., December, 2023

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models.
Bioinform., November, 2023

FitMultiCell: simulating and parameterizing computational models of multi-scale and multi-cellular processes.
Bioinform., November, 2023

Accessibility of covariance information creates vulnerability in Federated Learning frameworks.
Bioinform., September, 2023

IntestLine: a shiny-based application to map the rolled intestinal tissue onto a line.
Bioinform., April, 2023

Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.
PLoS Comput. Biol., January, 2023

Assessment of Prediction Uncertainty Quantification Methods in Systems Biology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A More Expressive Spline Representation for SBML Models Improves Code Generation Performance in AMICI.
Proceedings of the Computational Methods in Systems Biology, 2023

2022
BioSimulators: a central registry of simulation engines and services for recommending specific tools.
Nucleic Acids Res., 2022

pyABC: Efficient and robust easy-to-use approximate Bayesian computation.
J. Open Source Softw., 2022

A protocol for dynamic model calibration.
Briefings Bioinform., 2022

2021
PEtab - Interoperable specification of parameter estimation problems in systems biology.
PLoS Comput. Biol., 2021

yaml2sbml: Human-readable and -writable specification of ODE models and their conversion to SBML.
J. Open Source Softw., 2021

Efficient gradient-based parameter estimation for dynamic models using qualitative data.
Bioinform., 2021

AMICI: high-performance sensitivity analysis for large ordinary differential equation models.
Bioinform., 2021

SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems.
Bioinform., 2021

Closing the gap between formats for storing layout information in systems biology.
Briefings Bioinform., 2021

2020
Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines.
PLoS Comput. Biol., 2020

Efficient parameterization of large-scale dynamic models based on relative measurements.
Bioinform., 2020

Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation.
Bioinform., 2020

2019
Benchmarking optimization methods for parameter estimation in large kinetic models.
Bioinform., 2019

Benchmark problems for dynamic modeling of intracellular processes.
Bioinform., 2019

Community-driven roadmap for integrated disease maps.
Briefings Bioinform., 2019

2018
Supplementary Code to Multi-Experiment Nonlinear Mixed Effect Modeling of Single-Cell Translation Kinetics after Transfection.
Dataset, April, 2018

PESTO: Parameter EStimation TOolbox.
Bioinform., 2018

Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis.
Bioinform., 2018

Hierarchical optimization for the efficient parametrization of ODE models.
Bioinform., 2018

GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models.
Bioinform., 2018

pyABC: distributed, likelihood-free inference.
Bioinform., 2018

Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering.
Bioinform., 2018

LNA++: Linear Noise Approximation with First and Second Order Sensitivities.
Proceedings of the Computational Methods in Systems Biology, 2018

2017
Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks.
PLoS Comput. Biol., 2017

Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems.
BMC Syst. Biol., 2017

Robust parameter estimation for dynamical systems from outlier-corrupted data.
Bioinform., 2017

A scalable moment-closure approximation for large-scale biochemical reaction networks.
Bioinform., 2017

Parameter estimation for dynamical systems with discrete events and logical operations.
Bioinform., 2017

A Scheme for Adaptive Selection of Population Sizes in Approximate Bayesian Computation - Sequential Monte Carlo.
Proceedings of the Computational Methods in Systems Biology, 2017

2016
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule.
Stat. Comput., 2016

Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion.
PLoS Comput. Biol., 2016

Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints.
BMC Syst. Biol., 2016

Analysis of CFSE time-series data using division-, age- and label-structured population models.
Bioinform., 2016

MEMO: multi-experiment mixture model analysis of censored data.
Bioinform., 2016

Parameter Estimation for Reaction Rate Equation Constrained Mixture Models.
Proceedings of the Computational Methods in Systems Biology, 2016

2015
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.
Bioinform., 2015

Approximate Bayesian Computation for Stochastic Single-Cell Time-Lapse Data Using Multivariate Test Statistics.
Proceedings of the Computational Methods in Systems Biology, 2015

2014
ODE Constrained Mixture Modelling: A Method for Unraveling Subpopulation Structures and Dynamics.
PLoS Comput. Biol., 2014

Uncertainty Analysis for Non-identifiable Dynamical Systems: Profile Likelihoods, Bootstrapping and More.
Proceedings of the Computational Methods in Systems Biology, 2014

Radial Basis Function Approximations of Bayesian Parameter Posterior Densities for Uncertainty Analysis.
Proceedings of the Computational Methods in Systems Biology, 2014

2013
Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation.
BMC Syst. Biol., 2013

iVUN: interactive Visualization of Uncertain biochemical reaction Networks.
BMC Bioinform., 2013

Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis.
BMC Bioinform., 2013

Visualizing edge-edge relations in graphs.
Proceedings of the IEEE Pacific Visualization Symposium, 2013

2012
A visual analytics approach for models of heterogeneous cell populations.
EURASIP J. Bioinform. Syst. Biol., 2012

Uncertainty-aware visual analysis of biochemical reaction networks.
Proceedings of the 2012 IEEE Symposium on Biological Data Visualization, 2012

2011
Identification of models of heterogeneous cell populations from population snapshot data.
BMC Bioinform., 2011

Steady state stability preserving nonlinear model reduction using sequential convex optimization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
A maximum likelihood estimator for parameter distributions in heterogeneous cell populations.
Proceedings of the International Conference on Computational Science, 2010

Approximative classification of regions in parameter spaces of nonlinear ODEs yielding different qualitative behavior.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Computation of the Posterior Entropy in a Bayesian Framework for Parameter Estimation in Biological Networks.
Proceedings of the IEEE International Conference on Control Applications, 2010


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