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1 day agoWe consider the class of iterative shrinkage-thresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing.
6 days agoTrajectory prediction module in an autonomous driving system is crucial for the decision-making and safety of the autonomous agent car and its surroundings.
2 days agoWe adapt our recently developed constraint-based orbital-optimized excited-state method (COOX) for the computation of core excitations.
4 days agoWe suggest that integrating the SVM into the fusion model is a convex optimization, and that the obtained global optimal improves the performance of the model.
6 days agoWe integrate DiffusionSeeder to generate the seed trajectories for cuRobo, a GPU-accelerated motion optimization method, which results in 12x speed up on ...
16 hours agoXGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning ...
7 days agoTime evolving matrix product operator (TEMPO) method in a non-diagonal basis set based on derivative of the path integral expression.
7 days agoChance-constrained optimization will be merged with predictive control theory to address scalability and real-time performance of the resulting optimization ...
3 days agoData-driven traffic operations and demand management, Model prediction and optimization of cyber-physical systems in smart and connected communities ...
2 days agoHone your IT leadership skills, refine your strategies and discover the latest innovative technologies at the Gartner IT Symposium/Xpo≒ 2024 conference in ...