Christoph Zechner

19 papers A* 1Misc 1Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Mutual Information Rate - Linear Noise Approximation and Exact Computation.
CoRR
Manuel Reinhardt, Age Tjalma, Anne-Lena Moor, Christoph Zechner, Pieter Rein ten Wolde
2022 — conf
Automated Generation of Conditional Moment Equations for Stochastic Reaction Networks.
CMSB
Hanna Josephine Wiederanders, Anne-Lena Moor, Christoph Zechner
2021 J jnl
Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations.
Bioinform.
Tobias Pietzsch, Lorenzo Duso, Christoph Zechner
2021 J jnl
Design of a synthetic integral feedback circuit: dynamic analysis and DNA implementation.
CoRR
Corentin Briat, Christoph Zechner, Mustafa Khammash
2021 — conf
Shared antithetic integral control for dynamic cell populations.
CDC
Lorenzo Duso, Tommaso Bianucci, Christoph Zechner
2019 — conf
Moment-based analysis of biochemical networks in a heterogeneous population of communicating cells.
CDC
David T. Gonzales, T.-Y. Dora Tang, Christoph Zechner
2019 — conf
Path mutual information for a class of biochemical reaction networks.
CDC
Lorenzo Duso, Christoph Zechner
2017 J jnl
Parameter inference for stochastic single-cell dynamics from lineage tree data.
BMC Syst. Biol.
Irena Kuzmanovska, Andreas Milias-Argeitis, Jan Mikelson, Christoph Zechner, Mustafa Khammash
2016 — conf
A molecular implementation of the least mean squares estimator.
CDC
Christoph Zechner, Mustafa Khammash
2016 — conf
Approximate filtering distributions for characterizing input-output behavior of biochemical networks.
ECC
Christoph Zechner, Mustafa Khammash
2016 A* conf
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations.
AAAI
Lukas Studer, Loïc Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl
2014 J jnl
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments.
PLoS Comput. Biol.
Christoph Zechner, Heinz Koeppl
2013 — conf
Marginal dynamics of stochastic biochemical networks in random environments.
ECC
Christoph Zechner, Soudeep Deb, Heinz Koeppl
2013 J jnl
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.
Bioinform.
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
2012 — conf
Optimal variational perturbations for the inference of stochastic reaction dynamics.
CDC
Christoph Zechner, Preetam Nandy, Michael Unger, Heinz Koeppl
2012 J jnl
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout.
Neural Comput.
Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor
2011 — conf
Recursive Bayesian estimation of stochastic rate constants from heterogeneous cell populations.
CDC/ECC
Christoph Zechner, Serge Pelet, Matthias Peter, Heinz Koeppl
2010 Misc conf
Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts.
ICASSP
Christoph Zechner, Dmitriy Shutin
2002 J jnl
Comparison of Single-Particle Monte Carlo Simulation with Measured Output Characteristics of an 0.1µm n-MOSFET.
VLSI Design
Fabian M. Bufler, Andreas Schenk, Christoph Zechner, Natsuko Inada, Yoshinori Asahi, Wolfgang Fichtner