Unbiased Estimation of Parameter Sensitivities for Stochastic Chemical Reaction Networks. - Ankit Gupta 013; Mustafa Khammash (SIAM J. Sci. Comput., 2013)

Generic low-copy integral feedback for robust in-vivo adaptation. - Corentin Briat; Ankit Gupta 013; Mustafa Khammash (CoRR, 2014)

A Scalable Computational Framework for Establishing Long-Term Behavior of Stochastic Reaction Networks. - Ankit Gupta 013; Corentin Briat; Mustafa Khammash (PLoS Comput. Biol., 2014)

Finding the steady-state solution of the chemical master equation. - Ankit Gupta 013; Mustafa Khammash (CCTA, 2017)

Variance reduction for antithetic integral control of stochastic reaction networks. - Corentin Briat; Ankit Gupta 013; Mustafa Khammash (CoRR, 2017)

Variance reduction in stochastic gene expression under integral feedback control. - Corentin Briat; Ankit Gupta 013; Mustafa Khammash (CDC, 2018)

Computational Identification of Irreducible State-Spaces for Stochastic Reaction Networks. - Ankit Gupta 013; Mustafa Khammash (SIAM J. Appl. Dyn. Syst., 2018)

Estimation of Parameter Sensitivities for Stochastic Reaction Networks Using Tau-Leap Simulations. - Ankit Gupta 013; Muruhan Rathinam; Mustafa Khammash (SIAM J. Numer. Anal., 2018)

A linear constrained integral feedback for a class of reaction systems with absolute concentration robustness. - Daniele Cappelletti; Ankit Gupta 013; Mustafa Khammash (CDC, 2019)

An antithetic integral rein controller for bio-molecular networks. - Ankit Gupta 013; Mustafa Khammash (CDC, 2019)

Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations. - Ankit Gupta 013; Mustafa Khammash; Guido Sanguinetti (CMSB, 2019)

Quantification of loading effects in interconnections of stochastic reaction networks. - Ankit Gupta 013; Patrik Dürrenberger; Mustafa Khammash (ECC, 2019)

Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks. - Zhou Fang; Ankit Gupta 013; Mustafa Khammash (CDC, 2020)

DeepCME: A deep learning framework for computing solution statistics of the chemical master equation. - Ankit Gupta 013; Christoph Schwab; Mustafa Khammash (PLoS Comput. Biol., 2021)

Padé SSA: A frequency domain method for estimating the dynamics of stochastic reaction networks. - Ankit Gupta 013; Mustafa Khammash (CDC, 2022)

Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximations. - Zhou Fang; Ankit Gupta 013; Mustafa Khammash (J. Comput. Phys., 2022)

Convergence of Regularized Particle Filters for Stochastic Reaction Networks. - Zhou Fang; Ankit Gupta 013; Mustafa Khammash (SIAM J. Numer. Anal., 2023)

Effective filtering approach for joint parameter-state estimation in SDEs via Rao-Blackwellization and modularization. - Zhou Fang; Ankit Gupta 013; Mustafa Khammash (CDC, 2024)

SynthEvo: A Gradient-Guided Evolutionary Approach for Synthetic Circuit Design. - Nicolò Rossi; Ankit Gupta 013; Mustafa Khammash (CDC, 2024)

Cascaded Antithetic Integral Feedback for Enhanced Stability and Performance. - Armin Mohammadie Zand; Ankit Gupta 013; Mustafa Khammash (IEEE Control. Syst. Lett., 2024)