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11/30/2022
Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders
Synthetic data generation has recently gained widespread attention as a ...
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04/13/2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
Modularity in robotics holds great potential. In principle, modular robo...
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04/05/2022
Collective control of modular soft robots via embodied Spiking Neural Cellular Automata
Voxel-based Soft Robots (VSRs) are a form of modular soft robots, compos...
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04/05/2022
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning
Interpretability can be critical for the safe and responsible use of mac...
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04/13/2021
Model Learning with Personalized Interpretability Estimation (ML-PIE)
High-stakes applications require AI-generated models to be interpretable...
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04/23/2020
Learning a Formula of Interpretability to Learn Interpretable Formulas
Many risk-sensitive applications require Machine Learning (ML) models to...
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01/23/2020
Design, Validation, and Case Studies of 2D-VSR-Sim, an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots
Voxel-based soft robots (VSRs) are aggregations of soft blocks whose des...
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01/23/2020
2D-VSR-Sim: an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots
Voxel-based soft robots (VSRs) are aggregations of soft blocks whose des...
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12/06/2018
Observing the Population Dynamics in GE by means of the Intrinsic Dimension
We explore the use of Intrinsic Dimension (ID) for gaining insights in h...
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06/08/2018
