1 code implementation • 17 Nov 2023 • Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha
Our estimator is simple to train and estimates the likelihood ratio using a single forward pass of the neural estimator.
1 code implementation • 11 Nov 2022 • Adam D. Cobb, Anirban Roy, Daniel Elenius, Susmit Jha
In this paper, we develop an AI Designer that synthesizes novel UAV designs.
1 code implementation • 17 Aug 2022 • Pedro Sequeira, Daniel Elenius, Jesse Hostetler, Melinda Gervasio
We present a framework for learning comprehensible models of sequential decision tasks in which agent strategies are characterized using temporal logic formulas.
no code implementations • 29 Sep 2021 • Adam D. Cobb, Anirban Roy, Kaushik Koneripalli, Daniel Elenius, Susmit Jha
We use deep generative models to learn a manifold of the valid design space, followed by Hamiltonian Monte Carlo (HMC) with simulated annealing to explore and optimize design over the learned manifold, producing a diverse set of optimal designs.
no code implementations • 13 Mar 2014 • Shalini Ghosh, Daniel Elenius, Wenchao Li, Patrick Lincoln, Natarajan Shankar, Wilfried Steiner
Requirements are informal and semi-formal descriptions of the expected behavior of a complex system from the viewpoints of its stakeholders (customers, users, operators, designers, and engineers).