Jakob Ruess

14 papers Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2022 J jnl
Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level.
PLoS Comput. Biol.
Andela Davidovic, Remy Chait, Grégory Batt, Jakob Ruess
2021 J jnl
Beyond the chemical master equation: Stochastic chemical kinetics coupled with auxiliary processes.
PLoS Comput. Biol.
Davin Lunz, Grégory Batt, Jakob Ruess, J. Frédéric Bonnans
2019 — conf
Can optimal experimental design serve as a tool to characterize highly non-linear synthetic circuits?
ECC
Maxim Kryukov, Arthur Carcano, Grégory Batt, Jakob Ruess
2019 J jnl
Estimating information in time-varying signals.
PLoS Comput. Biol.
Sarah Anhala Cepeda-Humerez, Jakob Ruess, Gasper Tkacik
2019 J jnl
Molecular noise of innate immunity shapes bacteria-phage ecologies.
PLoS Comput. Biol.
Jakob Ruess, Maros Pleska, Calin C. Guet, Gasper Tkacik
2019 — conf
Optimal control of an artificial microbial differentiation system for protein bioproduction.
ECC
Élise Weill, Virgile Andréani, Chetan Aditya, Pierre Martinon, Jakob Ruess, Grégory Batt, J. Frédéric Bonnans
2016 J jnl
Adaptive moment closure for parameter inference of biochemical reaction networks.
Biosyst.
Christian Schilling, Sergiy Bogomolov, Thomas A. Henzinger, Andreas Podelski, Jakob Ruess
2015 — conf
Adaptive Moment Closure for Parameter Inference of Biochemical Reaction Networks.
CMSB
Sergiy Bogomolov, Thomas A. Henzinger, Andreas Podelski, Jakob Ruess, Christian Schilling
2015 J jnl
Moment-Based Methods for Parameter Inference and Experiment Design for Stochastic Biochemical Reaction Networks.
ACM Trans. Model. Comput. Simul.
Jakob Ruess, John Lygeros
2014 — conf
Grey-box techniques for the identification of a controlled gene expression model.
ECC
Francesca Parise, Jakob Ruess, John Lygeros
2014 — —
Moment-based methods for the analysis and identi cation of stochastic models of biochemical reaction networks.
Jakob Ruess
2013 — conf
Approximating the solution of the chemical master equation by combining finite state projection and stochastic simulation.
CDC
Aron Hjartarson, Jakob Ruess, John Lygeros
2013 — conf
Identifying stochastic biochemical networks from single-cell population experiments: A comparison of approaches based on the Fisher information.
CDC
Jakob Ruess, John Lygeros
2013 — conf
On the Use of the Moment Equations for Parameter Inference, Control and Experimental Design in Stochastic Biochemical Reaction Networks.
CMSB
Jakob Ruess, John Lygeros