40 citations · 160 across the 39 of their papers we have counts for
3 papers · 1 filter
Adversarially Robust Stability Certificates can be Sample-Efficient
Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi +2
Motivated by bridging the simulation to reality gap in the context of safety-critical systems, we consider learning adversarially robust stability certificates for unknown nonlinea…
Nonparametric adaptive control and prediction: theory and randomized algorithms
Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine
A key assumption in the theory of nonlinear adaptive control is that the uncertainty of the system can be expressed in the linear span of a set of known basis functions. While this…
Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids
Katiana Kontolati, Darius Alix-Williams, Nicholas M. Boffi +3
We introduce a generalized machine learning framework to probabilistically parameterize upper-scale models in the form of nonlinear PDEs consistent with a continuum theory, based o…