activity
20092021
most citedA Compositional Sheaf-Theoretic Framework for Event-Based Systems

9 citations · 12 across the 8 of their papers we have counts for

collaborators

13 papers

cs.LG2021

On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents

Anthony Courchesne, Andrea Censi, Liam Paull

In many situations it is either impossible or impractical to develop and evaluate agents entirely on the target domain on which they will be deployed. This is particularly true in…

cs.RO20219 cited

A Compositional Sheaf-Theoretic Framework for Event-Based Systems

Gioele Zardini, David I. Spivak, Andrea Censi +1

A compositional sheaf-theoretic framework for the modeling of complex event-based systems is presented. We show that event-based systems are machines, with inputs and outputs, and…

cs.RO20201 cited

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents

Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi +10

As robotics matures and increases in complexity, it is more necessary than ever that robot autonomy research be reproducible. Compared to other sciences, there are specific challen…

eess.SY2020

A Compositional Sheaf-Theoretic Framework for Event-Based Systems (Extended Version)

Gioele Zardini, David I. Spivak, Andrea Censi +1

A compositional sheaf-theoretic framework for the modeling of complex event-based systems is presented. We show that event-based systems are machines, with inputs and outputs, and…

eess.SY2020

On the Co-Design of AV-Enabled Mobility Systems

Gioele Zardini, Nicolas Lanzetti, Mauro Salazar +3

The design of autonomous vehicles (AVs) and the design of AV-enabled mobility systems are closely coupled. Indeed, knowledge about the intended service of AVs would impact their de…

cs.LG2019

Quantifying the effect of representations on task complexity

Julian Zilly, Lorenz Hetzel, Andrea Censi +1

We examine the influence of input data representations on learning complexity. For learning, we posit that each model implicitly uses a candidate model distribution for unexplained…