Robin A. Brown

According to our database, Robin A. Brown authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Decentralized Implicit Differentiation.

Lucas Fuentes Valenzuela, Robin A. Brown, Marco Pavone

CoRR, 2024

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications.

David Esteban Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli

CoRR, 2024

Accelerating Continuous Variable Coherent Ising Machines via Momentum.

Robin A. Brown, Davide Venturelli, Marco Pavone, David Esteban Bernal Neira

CoRR, 2024

2022

Copositive programming for mixed-binary quadratic optimization via Ising solvers.

Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone

CoRR, 2022

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming.

Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On Local Computation for Network-Structured Convex Optimization in Multiagent Systems.

Robin A. Brown, Federico Rossi, Kiril Solovey, Matthew Tsao, Michael T. Wolf, Marco Pavone

IEEE Trans. Control. Netw. Syst., 2021

2020

On Local Computation for Optimization in Multi-Agent Systems.

Robin A. Brown, Federico Rossi, Kiril Solovey, Michael T. Wolf, Marco Pavone

CoRR, 2020

Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems.

Robin A. Brown, Federico Rossi, Kiril Solovey, Michael T. Wolf, Marco Pavone

Proceedings of the 18th European Control Conference, 2020