Ankit Gupta

25 papers Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Filtered Finite State Projection Method for the Analysis and Estimation of Stochastic Biochemical Reaction Networks.
SIAM J. Appl. Dyn. Syst.
Elena D'ambrosio, Zhou Fang, Ankit Gupta, Sant Kumar, Mustafa Khammash
2026 J jnl
Unbiased Estimation of Second-Order Parameter Sensitivities for Stochastic Reaction Networks.
SIAM J. Sci. Comput.
Quentin Badolle, Ankit Gupta, Mustafa Khammash
2025 — conf
Control with Practical Guarantees of Stationary Variance in Stochastic Chemical Reaction Networks.
CDC
Armin Mohammadie Zand, Ankit Gupta, Mustafa Khammash
2025 J jnl
Interpretable Neural Approximation of Stochastic Reaction Dynamics with Guaranteed Reliability.
CoRR
Quentin Badolle, Arthur Theuer, Zhou Fang, Ankit Gupta, Mustafa Khammash
2024 J jnl
Cascaded Antithetic Integral Feedback for Enhanced Stability and Performance.
IEEE Control. Syst. Lett.
Armin Mohammadie Zand, Ankit Gupta, Mustafa Khammash
2024 — conf
Effective filtering approach for joint parameter-state estimation in SDEs via Rao-Blackwellization and modularization.
CDC
Zhou Fang, Ankit Gupta, Mustafa Khammash
2024 — conf
SynthEvo: A Gradient-Guided Evolutionary Approach for Synthetic Circuit Design.
CDC
Nicolò Rossi, Ankit Gupta, Mustafa Khammash
2023 J jnl
Convergence of Regularized Particle Filters for Stochastic Reaction Networks.
SIAM J. Numer. Anal.
Zhou Fang, Ankit Gupta, Mustafa Khammash
2022 — conf
Padé SSA: A frequency domain method for estimating the dynamics of stochastic reaction networks.
CDC
Ankit Gupta, Mustafa Khammash
2022 J jnl
Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximations.
J. Comput. Phys.
Zhou Fang, Ankit Gupta, Mustafa Khammash
2021 J jnl
DeepCME: A deep learning framework for computing solution statistics of the chemical master equation.
PLoS Comput. Biol.
Ankit Gupta, Christoph Schwab, Mustafa Khammash
2020 — conf
Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks.
CDC
Zhou Fang, Ankit Gupta, Mustafa Khammash
2019 — conf
A linear constrained integral feedback for a class of reaction systems with absolute concentration robustness.
CDC
Daniele Cappelletti, Ankit Gupta, Mustafa Khammash
2019 — conf
An antithetic integral rein controller for bio-molecular networks.
CDC
Ankit Gupta, Mustafa Khammash
2019 — conf
Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations.
CMSB
Ankit Gupta, Mustafa Khammash, Guido Sanguinetti
2019 — conf
Quantification of loading effects in interconnections of stochastic reaction networks.
ECC
Ankit Gupta, Patrik Dürrenberger, Mustafa Khammash
2018 J jnl
Computational Identification of Irreducible State-Spaces for Stochastic Reaction Networks.
SIAM J. Appl. Dyn. Syst.
Ankit Gupta, Mustafa Khammash
2018 J jnl
Estimation of Parameter Sensitivities for Stochastic Reaction Networks Using Tau-Leap Simulations.
SIAM J. Numer. Anal.
Ankit Gupta, Muruhan Rathinam, Mustafa Khammash
2018 — conf
Variance reduction in stochastic gene expression under integral feedback control.
CDC
Corentin Briat, Ankit Gupta, Mustafa Khammash
2017 — conf
Finding the steady-state solution of the chemical master equation.
CCTA
Ankit Gupta, Mustafa Khammash
2017 J jnl
Variance reduction for antithetic integral control of stochastic reaction networks.
CoRR
Corentin Briat, Ankit Gupta, Mustafa Khammash
2014 J jnl
A Scalable Computational Framework for Establishing Long-Term Behavior of Stochastic Reaction Networks.
PLoS Comput. Biol.
Ankit Gupta, Corentin Briat, Mustafa Khammash
2014 J jnl
Generic low-copy integral feedback for robust in-vivo adaptation.
CoRR
Corentin Briat, Ankit Gupta, Mustafa Khammash
2013 J jnl
A scalable computational framework for establishing long-term behavior of stochastic reaction networks
CoRR
Corentin Briat, Ankit Gupta, Mustafa Khammash
2013 J jnl
Unbiased Estimation of Parameter Sensitivities for Stochastic Chemical Reaction Networks.
SIAM J. Sci. Comput.
Ankit Gupta, Mustafa Khammash