Sinkhorn Algorithm for Lifted Assignment Problems
PulseAugur coverage of Sinkhorn Algorithm for Lifted Assignment Problems — every cluster mentioning Sinkhorn Algorithm for Lifted Assignment Problems across labs, papers, and developer communities, ranked by signal.
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New method uses Optimal Transport for supervised graph prediction
Researchers have developed a new method for supervised graph prediction (SGP) that addresses the challenge of comparing predicted and target graphs with arbitrary node orderings. The approach utilizes Optimal Transport …
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New GPU solver cuRegOT accelerates optimal transport for machine learning
Researchers have developed cuRegOT, a new GPU-accelerated solver designed to overcome the computational challenges of optimal transport (OT) in large-scale machine learning applications. The solver addresses the limitat…
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Graph Normalization offers differentiable approximation for NP-hard MWIS problem
Researchers have developed Graph Normalization (GN), a novel dynamical system that approximates the NP-hard Maximum Weight Independent Set (MWIS) problem. GN offers a principled and differentiable approach, converging t…
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New CUDA implementation speeds up optimal transport calculations on GPUs
Researchers have developed FastSinkhorn, a new CUDA implementation for the Sinkhorn algorithm used in optimal transport computations. This method operates entirely in the log-domain, ensuring numerical stability even wi…