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Ankit Gupta
Ankit Gupta
Senior Scientist, Department of Biosystems Science and Engineering, ETH Zurich.
Verified email at bsse.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks
C Briat, A Gupta, M Khammash
Cell Systems 2 (1), 15-26, 2016
2992016
A universal biomolecular integral feedback controller for robust perfect adaptation
SK Aoki, G Lillacci, A Gupta, A Baumschlager, D Schweingruber, ...
Nature 570 (7762), 533-537, 2019
1922019
A scalable computational framework for establishing long-term behavior of stochastic reaction networks
A Gupta, C Briat, M Khammash
PLoS computational biology 10 (6), e1003669, 2014
952014
Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks
C Briat, A Gupta, M Khammash
Journal of The Royal Society Interface 15 (143), 20180079, 2018
57*2018
A finite state projection algorithm for the stationary solution of the chemical master equation
A Gupta, J Mikelson, M Khammash
The Journal of Chemical Physics 147 (15), 154101, 2017
562017
Adaptive hybrid simulations for multiscale stochastic reaction networks
B Hepp, A Gupta, M Khammash
The Journal of chemical physics 142 (3), 034118, 2015
532015
Noise Induces the Population-Level Entrainment of Incoherent, Uncoupled Intracellular Oscillators
A Gupta, B Hepp, M Khammash
Cell Systems 3 (6), 521-531, 2016
272016
An efficient and unbiased method for sensitivity analysis of stochastic reaction networks
A Gupta, M Khammash
Journal of The Royal Society Interface 11 (101), 20140979, 2014
262014
Unbiased estimation of parameter sensitivities for stochastic chemical reaction networks
A Gupta, M Khammash
SIAM Journal on Scientific Computing 35 (6), A2598-A2620, 2013
262013
Sensitivity analysis for stochastic chemical reaction networks with multiple time-scales
A Gupta, M Khammash
Electronic Journal of Probability 19, 1-53, 2014
212014
Determining the long-term behavior of cell populations: A new procedure for detecting ergodicity in large stochastic reaction networks
A Gupta, M Khammash
IFAC World Congress 2014 19 (1), 1711-1716, 2013
202013
Computational identification of irreducible state-spaces for stochastic reaction networks
A Gupta, M Khammash
SIAM Journal on Applied Dynamical Systems 17 (2), 1213-1266, 2018
16*2018
Decimal expansion of 1/p and subgroup sums
A Gupta, B Sury
Integers: Electronic Journal of Combinatorial Number Theory 5 (1), 1-11, 2005
162005
An antithetic integral rein controller for bio-molecular networks
A Gupta, M Khammash
2019 IEEE 58th Conference on Decision and Control (CDC), 2808-2813, 2019
142019
Stochastic model for cell polarity
A Gupta
The Annals of Applied Probability 22 (2), 827-859, 2012
132012
A hidden integral structure endows absolute concentration robust systems with resilience to dynamical concentration disturbances
D Cappelletti, A Gupta, M Khammash
Journal of the Royal Society Interface 17 (171), 20200437, 2020
122020
The probability distribution of the reconstructed phylogenetic tree with occurrence data
A Gupta, M Manceau, T Vaughan, M Khammash, T Stadler
Journal of Theoretical Biology 488, 110115, 2020
112020
Estimation of parameter sensitivities for stochastic reaction networks using tau-leap simulations
A Gupta, M Rathinam, M Khammash
SIAM Journal on Numerical Analysis 56 (2), 1134-1167, 2018
92018
Dynamic disorder in simple enzymatic reactions induces stochastic amplification of substrate
A Gupta, A Milias-Argeitis, M Khammash
Journal of The Royal Society Interface 14 (132), 20170311, 2017
82017
Optogenetic single-cell control of transcription achieves mrna tunability and reduced variability
M Rullan, D Benzinger, GW Schmidt, A Gupta, A Milias-Argeitis, ...
BioRxiv, 142893, 2017
82017
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