AutoResearch is an open source system designed to refine AI systems through automated experimentation, as detailed by David Ondrej. It operates through a structured cycle that includes hypothesis ...
What if the key to building AI systems that are not only powerful but also trustworthy lies in a set of repeatable design principles? As artificial intelligence continues to shape industries and ...
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Next to the primary optimization objectives, scientific optimization problems often contain a series of subordinate objectives, which can be expressed as preferences over either the outputs of an ...
Abstract: Decomposition has been the mainstream approach in the classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly ...
Abstract: Wireless sensor networks (WSNs) have attracted substantial research interest, especially in the context of performing monitoring and surveillance tasks. However, it is challenging to strike ...
This is the code associated with the paper "Robust Multi-Objective Bayesian Optimization Under Input Noise." For a simple demo, check out our tutorial in BoTorch. Please cite our work if you find it ...
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