Andreas Milias-Argeitis

16 papers Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Gradient matching accelerates mixed-effects inference for biochemical networks.
Bioinform.
Yulan B. van Oppen, Andreas Milias-Argeitis
2022 J jnl
A convolutional neural network for segmentation of yeast cells without manual training annotations.
Bioinform.
Herbert Teun Kruitbosch, Yasmin Mzayek, Sara Omlor, Paolo Guerra, Andreas Milias-Argeitis
2022 — conf
Propagation of initial condition uncertainty for linear dynamical systems: beyond the Gaussian assumption.
ECC
Tamara Kurdyaeva, Andreas Milias-Argeitis
2021 — conf
Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates.
ECC
Tamara Kurdyaeva, Andreas Milias-Argeitis
2018 — conf
Efficient global sensitivity analysis of biochemical networks using Gaussian process regression.
CDC
Tamara Kurdyaeva, Andreas Milias-Argeitis
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 J jnl
Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection.
PLoS Comput. Biol.
Andreas Milias-Argeitis, Ana Paula Oliveira, Luca Gerosa, Laura Falter, Uwe Sauer, John Lygeros
2015 — conf
Adaptive Model Predictive Control of an optogenetic system.
CDC
Andreas Milias-Argeitis, Mustafa Khammash
2014 — conf
Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates.
CDC
Andreas Milias-Argeitis, Mustafa Khammash
2013 — conf
Analysis of controlled biological switches via stochastic motion planning.
ECC
Peyman Mohajerin Esfahani, Andreas Milias-Argeitis, Debasish Chatterjee
2013 — —
Computational methods for simulation, identification and model selection in systems biology.
Andreas Milias-Argeitis
2011 — conf
Efficient stochastic simulation of metastable Markov chains.
CDC/ECC
Andreas Milias-Argeitis, John Lygeros
2010 J jnl
Attaining Mean Square Boundedness of a Marginally Stable Stochastic Linear System With a Bounded Control Input.
IEEE Trans. Autom. Control.
Federico Ramponi, Debasish Chatterjee, Andreas Milias-Argeitis, Peter Hokayem, John Lygeros
2010 — conf
Bayesian model selection for the yeast GATA-factor network: A comparison of computational approaches.
CDC
Andreas Milias-Argeitis, Riccardo Porreca, Sean Summers, John Lygeros
2009 — conf
Local Identification of Piecewise Deterministic Models of Genetic Networks.
HSCC
Eugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, John Lygeros
2008 J jnl
Stochastic dynamics of genetic networks: modelling and parameter identification.
Bioinform.
Eugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, John Lygeros