Search Results for author:
Found 5 papers, 2 papers with code
SCAPE: Searching Conceptual Architecture Prompts using Evolution
Conceptual architecture involves a highly creative exploration of novel ideas, often taken from other disciplines as architects consider radical new forms, materials, textures and colors for buildings.
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery
We also show that when COIL has learned its latent representation, it can optimize 10% faster than the GA, making it a good choice for daily re-optimization of robots where delivery requests for each day are allocated to robots while maintaining safe numbers of robots running at once.
Practical Insights of Repairing Model Problems on Image Classification
Especially, we formulated use cases for industrial settings in terms of arrangements of a data set.
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History
Search-based repair techniques for DNNs have potentials to tackle this challenge by enabling localized updates only on "responsible parameters" inside the DNN.
Adapting SQuaRE for Quality Assessment of Artificial Intelligence Systems
We thus provide holistic insights for quality of AI systems by incorporating the ML nature and AI ethics to the traditional software quality concepts.
