Jakob Ruess

According to our database, Jakob Ruess authored at least 12 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level.

Andela Davidovic, Remy Chait, Grégory Batt, Jakob Ruess

PLoS Comput. Biol., 2022

2021

Beyond the chemical master equation: Stochastic chemical kinetics coupled with auxiliary processes.

Davin Lunz, Grégory Batt, Jakob Ruess, J. Frédéric Bonnans

PLoS Comput. Biol., 2021

2019

Molecular noise of innate immunity shapes bacteria-phage ecologies.

Jakob Ruess, Maros Pleska, Calin C. Guet, Gasper Tkacik

PLoS Comput. Biol., 2019

Estimating information in time-varying signals.

Sarah Anhala Cepeda-Humerez, Jakob Ruess, Gasper Tkacik

PLoS Comput. Biol., 2019

Optimal control of an artificial microbial differentiation system for protein bioproduction.

Élise Weill, Virgile Andréani, Chetan Aditya, Pierre Martinon, Jakob Ruess, Grégory Batt, J. Frédéric Bonnans

Proceedings of the 17th European Control Conference, 2019

Can optimal experimental design serve as a tool to characterize highly non-linear synthetic circuits?

Maxim Kryukov, Arthur Carcano, Grégory Batt, Jakob Ruess

Proceedings of the 17th European Control Conference, 2019

2016

Adaptive moment closure for parameter inference of biochemical reaction networks.

Christian Schilling, Sergiy Bogomolov, Thomas A. Henzinger, Andreas Podelski, Jakob Ruess

Biosyst., 2016

2015

Moment-Based Methods for Parameter Inference and Experiment Design for Stochastic Biochemical Reaction Networks.

Jakob Ruess, John Lygeros

ACM Trans. Model. Comput. Simul., 2015

2014

Grey-box techniques for the identification of a controlled gene expression model.

Francesca Parise, Jakob Ruess, John Lygeros

Proceedings of the 13th European Control Conference, 2014

2013

On the Use of the Moment Equations for Parameter Inference, Control and Experimental Design in Stochastic Biochemical Reaction Networks.

Jakob Ruess, John Lygeros

Proceedings of the Computational Methods in Systems Biology, 2013

Identifying stochastic biochemical networks from single-cell population experiments: A comparison of approaches based on the Fisher information.

Jakob Ruess, John Lygeros

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Approximating the solution of the chemical master equation by combining finite state projection and stochastic simulation.

Aron Hjartarson, Jakob Ruess, John Lygeros

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013