3 citations · 7 across the 7 of their papers we have counts for
7 papers
Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation
Anthony Degleris, Lucas Fuentes Valenzuela, Ram Rajagopal +2
Marginal emissions rates -- the sensitivity of carbon emissions to electricity demand -- are important for evaluating the impact of emissions mitigation measures. Like locational m…
Elevating Variational Quantum Semidefinite Programs for Polynomial Objectives
Iria W. Wang, Robin Brown, Taylor L. Patti +3
Many practically important NP-hard optimization problems are inherently higher-order polynomial optimizations, which are typically addressed using approximation algorithms. Classic…
Task-Driven Manipulation with Reconfigurable Parallel Robots
Daniel Morton, Mark Cutkosky, Marco Pavone
ReachBot, a proposed robotic platform, employs extendable booms as limbs for mobility in challenging environments, such as martian caves. When attached to the environment, ReachBot…
Decentralized Implicit Differentiation
Lucas Fuentes Valenzuela, Robin Brown, Marco Pavone
The ability to differentiate through optimization problems has unlocked numerous applications, from optimization-based layers in machine learning models to complex design problems…
Contingency Planning Using Bi-level Markov Decision Processes for Space Missions
Somrita Banerjee, Edward Balaban, Mark Shirley +2
This work focuses on autonomous contingency planning for scientific missions by enabling rapid policy computation from any off-nominal point in the state space in the event of a de…
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
David E. Bernal Neira, Robin Brown, Pratik Sathe +4
We discuss guidelines for evaluating the performance of parameterized stochastic solvers for optimization problems, with particular attention to systems that employ novel hardware,…
Accelerating Continuous Variable Coherent Ising Machines via Momentum
Robin Brown, Davide Venturelli, Marco Pavone +1
The Coherent Ising Machine (CIM) is a non-conventional architecture that takes inspiration from physical annealing processes to solve Ising problems heuristically. Its dynamics are…