no code implementations • 19 Mar 2024 • Pierre Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
Developing value-aligned AI agents is a complex undertaking and an ongoing challenge in the field of AI.
no code implementations • 8 Feb 2022 • Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das
In order to improve the performance and sample efficiency of such algorithms, we propose to use existing methods in conjunction with a surrogate model for the black-box evaluations over purely categorical variables.
no code implementations • 6 Jun 2020 • Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan
We consider the problem of black-box function optimization over the boolean hypercube.
no code implementations • 23 May 2019 • Jiri Navratil, Alan King, Jesus Rios, Georgios Kollias, Ruben Torrado, Andres Codas
We develop a proxy model based on deep learning methods to accelerate the simulations of oil reservoirs--by three orders of magnitude--compared to industry-strength physics-based PDE solvers.