Christoph Zechner

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 10

Top Topics

Linear Gaussian

Lessons Learned

Biochemical Networks

Top Venues

Publications

Hanna Josephine Wiederanders, Anne-Lena Moor, Christoph Zechner
Automated Generation of Conditional Moment Equations for Stochastic Reaction Networks. CMSB (2022)
Tobias Pietzsch, Lorenzo Duso, Christoph Zechner
Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations. Bioinform. 37 (17) (2021)
Lorenzo Duso, Tommaso Bianucci, Christoph Zechner
Shared antithetic integral control for dynamic cell populations. CDC (2021)
Corentin Briat, Christoph Zechner, Mustafa Khammash
Design of a synthetic integral feedback circuit: dynamic analysis and DNA implementation. CoRR (2021)
David T. Gonzales, T.-Y. Dora Tang, Christoph Zechner
Moment-based analysis of biochemical networks in a heterogeneous population of communicating cells. CDC (2019)
Lorenzo Duso, Christoph Zechner
Path mutual information for a class of biochemical reaction networks. CDC (2019)
Irena Kuzmanovska, Andreas Milias-Argeitis, Jan Mikelson, Christoph Zechner, Mustafa Khammash
Parameter inference for stochastic single-cell dynamics from lineage tree data. BMC Syst. Biol. 11 (1) (2017)
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)
Christoph Zechner, Mustafa Khammash
Approximate filtering distributions for characterizing input-output behavior of biochemical networks. ECC (2016)
Christoph Zechner, Mustafa Khammash
A molecular implementation of the least mean squares estimator. CDC (2016)
Christoph Zechner, Heinz Koeppl
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments. PLoS Comput. Biol. 10 (12) (2014)
Christoph Zechner, Soudeep Deb, Heinz Koeppl
Marginal dynamics of stochastic biochemical networks in random environments. ECC (2013)
Adi L. Tarca, Mario Lauria, Michael Unger, Erhan Bilal, Stéphanie Boué, Kushal Kumar Dey, Julia Hoeng, Heinz Koeppl, Florian Martin, Pablo Meyer, Preetam Nandy, Raquel Norel, Manuel C. Peitsch, John Jeremy Rice, Roberto Romero, Gustavo Stolovitzky, Marja Talikka, Yang Xiang, Christoph Zechner, Improver Dsc Collaborators
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge. Bioinform. 29 (22) (2013)
Christoph Zechner, Preetam Nandy, Michael Unger, Heinz Koeppl
Optimal variational perturbations for the inference of stochastic reaction dynamics. CDC (2012)
Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Comput. 24 (4) (2012)
Christoph Zechner, Serge Pelet, Matthias Peter, Heinz Koeppl
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations. CDC/ECC (2011)
Christoph Zechner, Dmitriy Shutin
Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts. ICASSP (2010)
F. 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 2002 (4) (2002)