activity
20192023
most citedEvolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert

20 citations · 24 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2023★ 20 cited

Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert

Ryan Cory-Wright, Cristina Cornelio, Sanjeeb Dash +2

The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have…

cs.AI2021★ 4 cited

AI Descartes: Combining Data and Theory for Derivable Scientific Discovery

Cristina Cornelio, Sanjeeb Dash, Vernon Austel +6

Scientists have long aimed to discover meaningful formulae which accurately describe experimental data. A common approach is to manually create mathematical models of natural pheno…

cs.RO2020

Piecewise-Linear Motion Planning amidst Static, Moving, or Morphing Obstacles

Bachir El Khadir, Jean Bernard Lasserre, Vikas Sindhwani

We propose a novel method for planning shortest length piecewise-linear motions through complex environments punctured with static, moving, or even morphing obstacles. Using a mome…

math.AG2019

On Sum of Squares Representation of Convex Forms and Generalized Cauchy-Schwarz Inequalities

Bachir El Khadir

A convex form of degree larger than one is always nonnegative since it vanishes together with its gradient at the origin. In 2007, Parrilo asked if convex forms are always sums of…

cs.RO2019

Teleoperator Imitation with Continuous-time Safety

Bachir El Khadir, Jake Varley, Vikas Sindhwani

Learning to effectively imitate human teleoperators, with generalization to unseen and dynamic environments, is a promising path to greater autonomy enabling robots to steadily acq…