Stefano B. Blumberg — accepted AI-conference papers

2024

Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection

Stefano B. Blumberg, Paddy J. Slator, Daniel C. Alexander

ICLR 2024poster

This paper presents a data-driven, task-specific paradigm for experimental design, to shorten acquisition time, reduce costs, and accelerate the deployment of imaging devices. Current approaches in experimental design focus on model-parameter estimation and require specification of a particular mod…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2023

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems

Oliver Slumbers, David Henry Mguni, Stefano B Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang

ICML 2023poster

In order for agents in multi-agent systems (MAS) to be safe, they need to take into account the risks posed by the actions of other agents. However, the dominant paradigm in game theory (GT) assumes that agents are not affected by risk from other agents and only strive to maximise their expected uti…

Cited by 19 Source ↗PDF ↗Scholar ↗