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Christoph Zechner
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2020 – today
- 2022
- [c11]Hanna Josephine Wiederanders, Anne-Lena Moor, Christoph Zechner
:
Automated Generation of Conditional Moment Equations for Stochastic Reaction Networks. CMSB 2022: 286-293 - 2021
- [j6]Tobias Pietzsch, Lorenzo Duso
Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations. Bioinform. 37(17): 2782-2784 (2021) - [c10]Lorenzo Duso, Tommaso Bianucci
Shared antithetic integral control for dynamic cell populations. CDC 2021: 2053-2058 - [i1]Corentin Briat, Christoph Zechner, Mustafa Khammash:
Design of a synthetic integral feedback circuit: dynamic analysis and DNA implementation. CoRR abs/2112.10273 (2021)
2010 – 2019
- 2019
- [c9]David T. Gonzales
Moment-based analysis of biochemical networks in a heterogeneous population of communicating cells. CDC 2019: 939-944 - [c8]Lorenzo Duso
Path mutual information for a class of biochemical reaction networks. CDC 2019: 6610-6615 - 2017
- [j5]Irena Kuzmanovska, Andreas Milias-Argeitis
Parameter inference for stochastic single-cell dynamics from lineage tree data. BMC Syst. Biol. 11(1): 52:1-52:13 (2017) - 2016
- [c7]Lukas Studer, Loïc Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl:
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations. AAAI 2016: 2051-2057 - [c6]Christoph Zechner
A molecular implementation of the least mean squares estimator. CDC 2016: 5869-5874 - [c5]Christoph Zechner
Approximate filtering distributions for characterizing input-output behavior of biochemical networks. ECC 2016: 1818-1823 - 2014
- [j4]Christoph Zechner
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments. PLoS Comput. Biol. 10(12) (2014) - 2013
- [j3]Adi L. Tarca, Mario Lauria
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge. Bioinform. 29(22): 2892-2899 (2013) - [c4]Christoph Zechner
Marginal dynamics of stochastic biochemical networks in random environments. ECC 2013: 4269-4274 - 2012
- [j2]Dmitriy Shutin, Christoph Zechner
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Comput. 24(4): 967-995 (2012) - [c3]Christoph Zechner
Optimal variational perturbations for the inference of stochastic reaction dynamics. CDC 2012: 5336-5341 - 2011
- [c2]Christoph Zechner
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations. CDC/ECC 2011: 5837-5843 - 2010
- [c1]Christoph Zechner, Dmitriy Shutin:
Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts. ICASSP 2010: 1998-2001
2000 – 2009
- 2002
- [j1]Fabian M. Bufler, Andreas Schenk, Christoph Zechner, Natsuko Inada, Yoshinori Asahi, Wolfgang Fichtner:
Comparison of Single-Particle Monte Carlo Simulation with Measured Output Characteristics of an 0.1µm n-MOSFET. VLSI Design 15(4): 715-720 (2002)
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