Search Results for author:
Found 5 papers, 3 papers with code
Direct Amortized Likelihood Ratio Estimation
Our estimator is simple to train and estimates the likelihood ratio using a single forward pass of the neural estimator.
Design of Unmanned Air Vehicles Using Transformer Surrogate Models
In this paper, we develop an AI Designer that synthesizes novel UAV designs.
Physical System Design Using Hamiltonian Monte Carlo over Learned Manifolds
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.
ARSENAL: Automatic Requirements Specification Extraction from Natural Language
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).
