activity
20162026
most citedGentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Generative Learning of Separatrices

Ellis R. Crabtree, Dimitris G. Giovanis, Anastasia Georgiou +2

The identification and reconstruction of the boundaries separating basins of attraction in multistable, multidimensional dynamical systems presents a fundamental challenge in compu…

cs.LG2025

On Some Tunable Multi-fidelity Bayesian Optimization Frameworks

Arjun Manoj, Anastasia S. Georgiou, Dimitris G. Giovanis +2

Multi-fidelity optimization employs surrogate models that integrate information from varying levels of fidelity to guide efficient exploration of complex design spaces while minimi…

math.DS2023★ 2 cited

Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds

Juan M. Bello-Rivas, Anastasia Georgiou, Hannes Vandecasteele +1

Finding saddle points of dynamical systems is an important problem in practical applications such as the study of rare events of molecular systems. Gentlest ascent dynamics (GAD) i…

cs.LG2022★ 2 cited

Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds

Juan M. Bello-Rivas, Anastasia Georgiou, John Guckenheimer +1

We introduce a method to successively locate equilibria (steady states) of dynamical systems on Riemannian manifolds. The manifolds need not be characterized by an a priori known a…

physics.chem-ph2016

iMapD: intrinsic Map Dynamics exploration for uncharted effective free energy landscapes

Eliodoro Chiavazzo, Ronald R. Coifman, Roberto Covino +4

We describe and implement iMapD, a computer-assisted approach for accelerating the exploration of uncharted effective Free Energy Surfaces (FES), and more generally for the extract…