Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: ...
We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...
Abstract: As micro-architectures evolve with increasing complexity, the design process needs to account for a broad range of parameters, which leads to expansive design spaces. Design space ...
cuPDLPx is a GPU-accelerated linear programming solver based on a restarted Halpern PDHG method specifically tailored for GPU architectures. It incorporates a Halpern update scheme, an adaptive ...
Texas A&M engineers have developed a method to prevent cracking in cryopreserved organs, a breakthrough that could transform long-term organ storage and transplantation. Credit: Shutterstock The ...
Abstract: Simulation is required in real-world industrial decision-making to model the complexity, such as supply chain management with uncertain future demand. Scenario generation is critical for ...
This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...
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