4 citations · 7 across the 6 of their papers we have counts for
6 papers
Exact Feature Collisions in Neural Networks
Utku Ozbulak, Manvel Gasparyan, Shodhan Rao +2
Predictions made by deep neural networks were shown to be highly sensitive to small changes made in the input space where such maliciously crafted data points containing small pert…
Complex and detailed balancing of chemical reaction networks revisited
Arjan van der Schaft, Shodhan Rao, Bayu Jayawardhana
The characterization of the notions of complex and detailed balancing for mass action kinetics chemical reaction networks is revisited from the perspective of algebraic graph theor…
A network dynamics approach to chemical reaction networks
Arjan van der Schaft, Shodhan Rao, Bayu Jayawardhana
A crisp survey is given of chemical reaction networks from the perspective of general nonlinear network dynamics, in particular of consensus dynamics. It is shown how by starting f…
Model-order reduction of biochemical reaction networks
Shodhan Rao, Arjan van der Schaft, Karen van Eunen +2
In this paper we propose a model-order reduction method for chemical reaction networks governed by general enzyme kinetics, including the mass-action and Michaelis-Menten kinetics.…
A Graph-Theoretical Approach for the Analysis and Model Reduction of Complex-Balanced Chemical Reaction Networks
Shodhan Rao, Arjan van der Schaft, Bayu Jayawardhana
In this paper we derive a compact mathematical formulation describing the dynamics of chemical reaction networks that are complex-balanced and are governed by mass action kinetics.…
On the Mathematical Structure of Balanced Chemical Reaction Networks Governed by Mass Action Kinetics
Arjan van der Schaft, Shodhan Rao, Bayu Jayawardhana
Motivated by recent progress on the interplay between graph theory, dynamics, and systems theory, we revisit the analysis of chemical reaction networks described by mass action kin…